宜博 / lemongraph

Found during Phase 1 real end-to-end verification (2026-08-12): 3
independent real runs, 3 different goals, all hit the same known,
unrelated-to-Phase-1 issue -- a self-planned benchmark/test_script node's
own judgment rejecting narrative summaries, exhausting loop_back's
max_attempts. One of the three ran against the real production
backend_server after the FK migration fix (bd1404d), confirming the new
Phase 1 status machine routes the failure correctly (blocked_pending_human
with a real diagnostic trail) even when the underlying pre-existing bug
fires before planner_reviewer is ever reached.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Updates the Phase 2 SDD and requirements doc to reflect that Phase 2a
(86fc0bb) and Phase 2b (7c46a2f) are done, not just designed. Records the
concrete deviations/fixes found during implementation that the original
design didn't anticipate: the run_id=None bug in the artifact-reuse resume
path, the missing needs_worktree=True on Coder's run_graph() call, why
§2.2's index narrowing needed to move from "maybe safe after 2b" to
"actually needs 2c", and the test-fixture check_same_thread=False gap
concurrent merged-graph layers exposed.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Design for org-graph-unification-and-universal-self-planning-requirements.md
§3.1's step 3, previously flagged as the largest known gap in the Phase 2 SDD.

Extends §5.4's Reflection-review to judge both a target node AND a
defect_kind (content_error vs skill_defect), adds §5.5 Fix-Skill (a real
Validator-identity call rewriting the target node's skill_ref content, via
the existing but never-wired-up skill_update.py::update_skill() +
bug_record.create_bug_record()), and confirms Re-loop needs no new
mechanism -- the existing _LoopBackRequested path already re-runs the
target node, which picks up the new skill content automatically since
Claude Code loads Skill content by name at call time, not at agent
frontmatter deploy time.

Two findings during design that motivated/validated this work:
- org_level_loop.py's _ROUTE_FOR_CATEGORY has no 'skill_defect' key --
  skill_update.update_skill() has never been called by any production
  path despite root_cause_trace.py being able to classify skill_defect
  since U-015. Fix-Skill is the first time this dead capability gets wired
  up for real, via a new path, not by fixing the old one.
- execution_event.event_type's CHECK enum has had an unused 'skill_iterated'
  value since the original U-001 schema -- no new migration needed to log
  Fix-Skill events.

Also found and recorded a third work_graph_run.org_node call site
(root_cause_trace.judge_root_cause_via_work_graph) that §2.1's column-
removal missed.

Confirmed via AskUserQuestion: the Skill-rewrite call always runs under
the Validator identity, regardless of which org_node's skill is being
fixed -- avoids the self-correcting-its-own-blind-spot problem, and
matches skill_update.py's own "a Validator-triggered rewrite" docstring
intent from 03-C.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Phase 1 (planner_reviewer review gate + P0 resume-bug fix) shipped as
ea19c7d, matching org-graph-unification-phase1-review-gate-design.md
exactly (new task.status value, org role, _REQUIRED_ARTIFACTS narrowing,
both bugs fixed). Moving that design doc and the P0 bug doc it subsumed
to docs/done/, updating their status headers, and fixing the doc-path
references left pointing at their old docs/todo/ location across
agents/planner_reviewer/{SOUL,AGENTS}.md, src/schema.py migration
docstrings, and the other Phase 2/deblackbox docs. Full suite green
(731 tests) both before and after.

Also ran Phase 2 SDD's §9 interface-reconciliation checklist against the
real Phase 1 implementation now that it exists for real: all three items
check out (run_id is included in plan_and_review_documents()'s return
shape, the new task.status value is exactly reviewing_planner_output as
assumed, and planner_reviewer's role.json doesn't pre-reserve a skill
slot for Phase 2's new skill, which is fine -- a one-line addition when
Phase 2c lands, not an incompatibility). Updated §9 to reflect this.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

User's key insight, recorded as a goal in the requirements doc (new §3.1):
a failed node shouldn't just get a corrective retry (fix-bug, forgotten
after this run) -- when the root cause is a systemic Skill defect, the
Skill itself must be fixed (fix-skill, persists across all future tasks).
Four-step chain: judgment fails -> Reflection-review node does full-chain
root-cause diagnosis (one-off content error vs systemic skill defect) ->
if systemic, a Fix-skill node calls the already-existing skill iteration
machinery (skill_update.py::update_skill() + bug_record.py, real Git-
versioned commits, previously only reachable via org_level_loop.py's
coarse Org-level path, never from inside a Work Graph's own judgment/
loop_back cycle) -> loop back and re-run using the updated skill.

Cross-referenced into the Phase 2 design doc: its dynamic_loop_back (§5)
implements steps 1/2/4 of this chain but not step 3 (Fix-skill) -- flagged
as the largest known scope gap in §8, not a missed detail.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Design for FR-2/FR-3/FR-4: extending self-planning to Coder/Validator,
per-node subagent/skill/tools binding, and node-level precise loop_back
replacing org_level_loop.py's coarse fast_lane/full_replan routing.

Three findings during design research that revise the requirements doc's
original FR-2 assumption ("just swap the call site"):
- _GENERIC_PROMPT_TEMPLATE never solicits judgment/on_fail today -- Coder/
  Validator switching to plan_work_graph() as-is would produce graphs with
  no judgment/loop-back capability at all.
- run_graph()'s subagent_type/skill_ref are run-level constants passed to
  every node identically, not node-level despite work_node_execution
  already having columns for it -- needs a real (bounded) engine extension.
- Today's on_fail.action="loop_back" target is statically declared at
  planning time via a single on_failure edge; it cannot express "a
  terminal validator dynamically diagnoses which of several ancestor
  nodes is the true root cause." New on_fail.action="dynamic_loop_back"
  designed for this, reusing root_cause_trace.py's jury/majority-vote
  structure with the vote target changed from a category to a node_id.

Also incorporates three requirements-doc §7 decisions that were made
(apparently concurrently) while this was being designed and overrule two
of this doc's initial drafts: work_graph_run.org_node is removed entirely
(not kept/sunk to node level) with concrete work_graph_run_query.py/
work_graph_fork.py rework; Coder/Validator get a suggested node-type
catalog (not fully free-form); the append interface is a parameter on
the existing plan_work_graph() (not a new function).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

… work, compress bloated incident log

- Delete org-graph-as-work-graph-unified-loop-requirements.md: fully
  superseded by org-graph-unification-and-universal-self-planning-
  requirements.md; folded its one non-duplicated detail (the 2084590a
  benchmark-narration trigger incident) into that doc's background instead.
- Split scheduler-production-polling-loop-{requirements,design}.md by
  completion status: FR-2 (in-flight task reconciliation, shipped) moves to
  docs/done/scheduler-task-reconciliation-{requirements,design}.md; FR-1
  (new-goal auto-dispatch, still undecided) becomes a small standalone
  docs/todo/scheduler-new-goal-dispatch-requirements.md instead of staying
  bundled with a doc that's mostly done.
- Compress validator-test-script-narrative-output-issue.md's six
  ad-hoc "第N轮更新" paragraphs crammed into one status line into a scannable
  timeline table; moved the task 2084590a benchmark evidence into §1 where
  the other repro examples live instead of leaving it stranded in the header.
- implementation-gap-analysis.md: logged two new gaps found today (no
  pre-Coder review of Planner's output; node execution still depends on
  native Dynamic Workflow) plus the architecture.md §10.1 staleness itself,
  per that doc's own "edit in place" maintenance convention.
- Updated the doc-path references left in src/task_execution.py and
  src/task_reconciliation.py docstrings to point at the new locations.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

- org-graph-unification-phase1-review-gate-design.md: implementable SDD for
  inserting a planner_reviewer stage (new org role, since _PRE_STATE/
  _POST_STATE map org_node -> status 1:1 and can't reuse "validator" twice)
  between Planner and Coder. Folds in the P0 resume-artifact-assumption fix
  and a newly-found sibling KeyError in the fresh-run path.
- graphlemon_architecture.md §10.2: records that §10.1's "方案 A" (reuse
  Claude Code's native Dynamic Workflow for Work Graph execution) was
  superseded -- the graph-orchestration layer already diverged (REQ-06
  checkpoint/resume), and per today's decision the single-node execution
  layer is being migrated off it too, for controllability.
- work-graph-node-execution-deblackbox-requirements.md: requirements+design
  for that migration -- replace the 3 remaining write_workflow_script/
  execute_work_graph call sites with plan_work_graph()'s already-proven
  flat `claude --agent` + JSON-fence-extraction pattern.
- Cross-referenced the two new docs from each other and from the existing
  P0/P2 todo docs they fold into or relate to.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Merges the fixed-flow change (Planner -> Validator -> Coder -> Validator),
universal per-org-agent self-planning, node-level validator skill, and
frontend dynamic/historical graph asks into one requirements doc, folding
in the P0 resume-artifact bug and the P2 test_script structural-fix
placeholder that were blocking on the same design. Records the user's
2026-08-08 decision to merge all four org stages into one work_graph_run
(scheme A) rather than cross-graph routing (scheme B), plus the concrete
schema conflicts that decision surfaces (work_graph_run.org_node's single
value + unique-active-run index) for Phase 2's SDD to resolve.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

work-graph-partial-artifact-persistence and work-graph-self-planning-
and-loop-back (requirements + design) are all shipped and tested;
move them out of docs/todo/ and fix up the docs/todo/*.md and
src/*.py path references that pointed at their old location.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Real end-to-end verification of Work Graph self-planning + loop-back
(task 2084590a) hit the narrative-output problem again -- this time on a
self-planned benchmark node, not test_script, disproving the earlier
"BRD/PRD/SDD/Benchmark won't recur" hypothesis in validator-test-script-
narrative-output-issue.md. The judge caught it once (round 3) but couldn't
force a fix; the loop_back retry limit correctly exhausted and blocked the
task cleanly instead of hanging or crashing.

Also drafts org-graph-as-work-graph-unified-loop-requirements.md: extending
today's Work-Graph-internal judgment/on_fail/loop_back mechanism up to the
Org Graph itself, so Coder doesn't start from an unreviewed Planner output
and a Validator FAIL can route to a precise node instead of a whole phase.
Flags the real hard part (Planner/Coder each plan their own graph_manifest,
so node ids don't share an address space across the org boundary) as the
first open question, not yet implemented.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

…4843-main-checkout-drift

Mitigates the recurring test_script/validator_test_script narration issue
(100% repro across 3 tasks, 6 nodes): the existing compile-error feedback
buries its "not a narrative description" note under raw tracebacks, which
wasn't enough to stop the model repeating narrative output on retry. Adds
_NARRATION_RETRY_HINT as a separate, directive feedback item alongside the
compiler detail. See docs/todo/validator-test-script-narrative-output-issue.md
§6-7 for the full root-cause analysis and rationale.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

…9789-main-checkout-drift

…d4ef-main-checkout-drift

…bbe3-main-checkout-drift

…437e-main-checkout-drift

_launch_candidate() starts backend_server against a COPY of the prod db for
health-checking only; without --disable-reconciliation-loop it would find
resumable tasks in that copy and dispatch real claude -p calls before Deploy
Supervisor decides whether the candidate is even good. Adds the flag plus a
mocked-Popen regression test (LaunchCandidateArgsTest) so a future regression
here fails fast instead of surfacing as a hang or a real incident.

Also folds this into docs/todo/scheduler-production-polling-loop-design.md
(§6.1) as part of the FR-2 design record.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Recovers tasks abandoned mid-flight (status in queued/planning_brd_prd_sdd/
coding/validating with no recent execution_event) by re-driving them through
task_execution.run_or_resume_task_lifecycle on a background poll, guarded by
an in-process in-flight lock to avoid double dispatch. Responds to a real
2026-08-06 incident where a task sat stuck in 'validating' for 15+ hours with
nothing polling it.

Scoped to FR-2 only from docs/todo/scheduler-production-polling-loop-
requirements.md; FR-1 (new-goal auto-dispatch) stays out per that doc's own
non-goals -- it's a separate, larger autonomy-boundary decision. Design
recorded in docs/todo/scheduler-production-polling-loop-design.md.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Per CLAUDE.md's docs/ role split (todo = pending, done = shipped into the
SDD/code): all seven Graph Engineering series items with a real
implementation (B, D, E, F, G, H -- A had no separate doc, resolved
directly in graphlemon_architecture.md; C is explicitly won't-do) now have
their requirements+design docs moved from docs/todo/ to docs/done/,
git mv'd to preserve history.

Every cross-reference to the 12 moved files -- across the other moved
docs themselves, graph-engineering-open-items.md, 2 Skill files, and 9
src/*.py docstrings/comments -- updated from docs/todo/<file> to
docs/done/<file>. Verified no stale docs/todo/ references to any of the
12 filenames remain anywhere in the repo.

graph-engineering-open-items.md itself stays in docs/todo/ (not moved) --
it's a living index that keeps gaining new entries from later
comparison-note/gap-analysis passes (H itself was added this way, and a
new item already appeared while this cleanup was in progress), not a
single finished conclusion. Its own header now reflects that all of
A/B/D/E/F/G/H are done and explains why it wasn't moved. Also fixed two
pre-existing stray path references (missing todo/done/ prefix entirely,
predating this cleanup) in its G section.

Full src suite (625 tests) passes -- this is a pure documentation/comment
change, no behavior touched.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Implements docs/todo/role-package-abstraction-design.md. Requirements
review (docs/todo/graph-engineering-open-items.md's H section) had already
corrected the requirements doc's own dependency analysis before this;
scope confirmed with user 2026-08-06: relax all 4 org_node CHECK
constraints in one pass, not staged.

Format is JSON, not YAML: 05 §5.7's pure-stdlib constraint rules out
PyYAML, and unlike Skill files (whose YAML frontmatter only Claude Code
itself ever parses, never this codebase's own Python), role.json genuinely
needs to be read by agent_profile.py -- json.load is the zero-risk choice
over a hand-rolled parser.

role.json is a REFERENCE manifest, not a content copy: identity.soul_md_path/
agents_md_path still point at the untouched agents/<role>/SOUL.md/AGENTS.md
files. This is what makes "deployed output must stay identical" close to
automatic -- render_agent_definition()'s body-assembly logic doesn't
change at all, only the frontmatter's data source does (hardcoded
FRONTMATTER dict -> parsed role.json). Verified byte-for-byte: diffed the
old (git HEAD) render_agent_definition() output against the new one for
all three roles, zero differences.

agent_profile.py: ORG_NODES is now discovered by scanning roles/ for
role.json files (_discover_role_ids()) instead of a hardcoded 3-tuple;
FRONTMATTER/_DESCRIPTIONS/_MIGRATED_FROM_PROFILE dicts are gone. Every
public function takes an optional roles_dir override specifically so a
test can prove "a new role needs zero code changes" against a throwaway
fixture directory (NewRoleWithoutCodeChangeTest) rather than asserting it
by inspection.

schema.py: skill.owner_org_node/task.assigned_org_node/work_graph_run.org_node/
agent_profile.org_node relaxed from CHECK(x IN ('planner','coder','validator'))
to CHECK(x != ''). Real blast radius found during design (bigger than the
requirements doc's own risk note): task/work_graph_run/skill are
referenced by several other tables' foreign keys, but since only the
parent tables' own CHECK text changes (child FK definitions are untouched),
only these 4 parent tables need rebuilding -- followed SQLite's documented
procedure for schema changes under active foreign keys (foreign_keys=OFF
for the duration, rebuild, foreign_key_check to confirm nothing went
dangling, foreign_keys=ON). migrate_relax_org_node_constraints() depends
on D's migrate_add_work_graph_fork_columns() having run (called
unconditionally, idempotent) so work_graph_run's rebuild has the right
column set either way. ux_work_graph_run_active and task's 3 indexes
verified to survive the rebuild.

work_graph_run_query.py's own separately-hardcoded _VALID_ORG_NODES
(a real dependency the requirements doc's risk section missed) now reuses
agent_profile.ORG_NODES instead of maintaining a second copy.

Explicitly NOT done (scoped out during requirements review, not an
oversight): frontend/app.js's 4 hardcoded 3-role spots (route regex, sort
order, dropdown, lookup object) -- a new role still won't be recognized by
the PH3 console. A `role` table with real FK referential integrity was
also not built; this uses the simpler "just relax the enum" approach.

Full src suite (623 tests) + supervisor suite (125 tests) pass with zero
regressions.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Implements docs/todo/work-graph-time-travel-debugging-design.md, backend
and console together (user confirmed 2026-08-06).

Key finding that shrank the v1 scope: ux_work_graph_run_active is a
PARTIAL unique index (only covers non-terminal statuses), not a blanket
one -- forking from a parent run that's already reached a terminal status
never collides with it at all. v1 restricts forking to exactly that case,
so no index/constraint change is needed, only two new nullable columns
(parent_run_id, fork_of_node_exec_id).

Resolved the requirements doc's FR-1 ambiguity ("override input_payload,
re-trigger execution") as OUTPUT SUBSTITUTION instead: the fork point's
own output_payload is replaced with the human-supplied content directly,
it is never re-executed via a new claude -p call -- only the strict
downstream subgraph actually re-runs. This sidesteps reconciling the
different build_prompt/input_payload conventions each caller uses
(Planner's artifact_type lookup, E's generic task_prompt field, F's jury)
-- work_graph_fork.py only needs the persisted graph_manifest and each
node's output_payload.

Implementation needs ZERO changes to the execution engine: pre-seeding
every non-downstream node as a 'done' work_node_execution row before
calling the unmodified run_graph() on the unmodified graph_manifest is
enough -- run_work_node()'s existing REQ-06 breakpoint-recovery
short-circuit (already-'done' nodes return their persisted output without
calling run_fn) does all the "reuse without re-executing" work for free.
_reconstruct_build_prompt supports two graph shapes generically from
persisted state alone (Planner's canonical doc chain via
e2e_pipeline._planner_prompt_builder, and E's generic task_prompt field);
anything else raises ForkGraphShapeUnsupportedError rather than producing
broken prompts.

New: src/work_graph_fork.py (create_fork/execute_fork/fork_work_graph_run/
start_fork_in_background, the last splitting fast DB-only setup from slow
real execution so an HTTP caller gets run_id back immediately, same
pattern task_execution.start_task_execution_in_background already uses).
work_graph_run gets parent_run_id/fork_of_node_exec_id (SCHEMA_SQL +
migrate_add_work_graph_fork_columns for existing databases).
work_graph_run_query.py/task_query.py surface both fields. New endpoint
POST /api/work-nodes/:node_exec_id/fork. Console: a "从这里分叉" form on
each 'done' node in v_run_detail, a fork badge linking back to the parent
run, and a 🔀 marker on v_graph_console's run list -- no diff/merge UI
(non-goal #3), read-only branch visibility only.

Verified end-to-end for real: started the actual backend, sent a real
HTTP fork request, confirmed the new run persisted with correct
parent_run_id/fork_of_node_exec_id lineage.

Tests cover requirements doc acceptance standards 1-3 (PRD swapped ->
SDD/Benchmark genuinely re-execute, BRD untouched; original run completely
unaffected; the same node forked twice produces independent branches) plus
schema migration idempotency, query-layer field surfacing, the HTTP route,
and 3 frontend smoke-test assertions. Full src suite (608 tests) + all 3
frontend smoke tests pass.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Implements docs/todo/validator-loop-until-dry-skill-design.md. Pure Skill +
Agent-definition wiring, no execution-engine changes -- the convergence
loop runs inside a single Work Node's one claude -p session (multi-turn
tool use), not a graph_manifest-level cycle, so topological_layers()/
run_graph() are untouched.

New Skill skills/unknown-scope-defect-sweep/SKILL.md: K=2 consecutive
no-new-finding rounds to stop, 20-round hard cap, dedup key must be a
structural identifier (file path + line, route path, package name) not a
natural-language description (the same finding gets reworded call to
call, so text-keyed dedup never converges), dedup set is "everything ever
seen" not "everything confirmed" (the common bug the 14-step reference
names: a rejected candidate reappearing as a false "new finding" every
round). Each candidate is verified via qa-task-validation's existing
PASS/FAIL/INCONCLUSIVE framework -- deliberately NOT root_cause_trace's
three-perspective jury (F), since that answers a different question
(root cause AFTER a failure) from this one (is this candidate real at
all) -- documented in the design doc's own tradeoff note.

Wired into agent_profile.py's FRONTMATTER["validator"]["skills"] and
agents/validator/AGENTS.md's "必须加载" section with a concrete trigger
signal (task description can't state an exact expected count/boundary
up front).

Only FR-4 (Skill wired into the rendered .claude/agents/validator.md) has
deterministic, mockable behavior -- new test
test_validator_references_unknown_scope_defect_sweep_skill. Acceptance
criteria 1-3 (actually finds everything, actually dedups correctly,
actually stops at the hard cap) need real multi-turn claude -p behavior,
out of scope for mocked tests (RUN_REAL_AGENT_E2E=1 territory), same
category of limitation as F's own real-concurrency-timing note.

Full src suite (587 tests) passes with zero regressions.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Reviewed docs/todo/role-package-abstraction-requirements.md against the
actual codebase before confirming direction. Two corrections to the
document's own risk analysis:

1. Its dependency list for agent_profile.ORG_NODES/FRONTMATTER was wrong
   in one place and missing the largest one: work_graph_orchestrate.py
   doesn't import agent_profile at all (only org_node_trigger.py and
   project_scaffold.py::deploy_agent_definitions() do -- smaller real
   footprint than claimed). But the document missed two real hardcoded
   3-role dependencies entirely: src/work_graph_run_query.py's
   _VALID_ORG_NODES, and -- the actually large one -- four separate
   hardcoded spots in frontend/app.js (a route regex, a sort-order array,
   a task-creation <option> dropdown, and a lookup object literal).
2. Acceptance criterion 1 ("a new role needs no code/schema changes")
   only covers schema.py + agent_profile.py per its own non-goal #1 (a new
   role doesn't need real Org Graph wiring) -- the console genuinely won't
   recognize it either way. Flagged so the design doc states this
   explicitly instead of letting "no code changes" read as end-to-end.

Confirmed for design phase with these two additions folded in; the
document's own open questions (§8) are left for the design pass, not
pre-decided here.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Implements docs/todo/verifier-fan-out-jury-design.md. root_cause_trace.py:
_tally_perspectives() extracts the existing >=2/3 rule out of
judge_root_cause so the closure-based version and the new
judge_root_cause_via_work_graph() share one implementation, not two that
could drift apart. The fan-in vote stays plain Python (zero_token
aggregation per the design-dynamic-work-graph Skill's own edge_type
distinction) rather than becoming a fourth Work Node -- no reason to pay
for an Agent call just to count votes.

judge_root_cause_via_work_graph(): each perspective becomes an
independent Work Node with real schema-constrained structured output
({"category", "detail"} directly), not real_validator_perspective's
manual "CATEGORY:"/"DETAIL:" text-line parsing. judge_root_cause /
real_validator_perspective are kept, not removed -- documented as the
lightweight fallback for scenarios that don't need worktree/Work Graph
overhead.

org_level_loop.run_fix_loop (the one real production caller) now calls
the Work Graph version; the fixer/verify calls are unchanged flat
trigger_org_node calls.

Real bug found and fixed along the way: this is the first production code
path that actually triggers a run_graph() multi-node CONCURRENT layer
(every graph_manifest before F was single-node or a strict serial chain,
so G's ThreadPoolExecutor path had never really run in production).
scheduler.py::run_goal_to_completion and
task_execution.py::start_task_execution_in_background both created their
conn without check_same_thread=False -- fixed both, since their conn can
now reach run_graph()'s worker threads via run_fix_loop.

Test boundary migrated in test_org_level_loop.py/test_scheduler.py: the
3 perspective calls are now mocked at work_graph_execute.write_workflow_script/
execute_work_graph (matching test_work_graph_orchestrate.py's pattern)
instead of org_node_trigger.trigger_org_node. New tests cover: three real
independent Work Node executions, judgment-rule equivalence with the
closure version, clean per-node input_payload, and concurrent wall-clock
overlap across the three perspectives.

Full src suite (586 tests) + supervisor suite (125 tests) pass with zero
regressions.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Implements docs/todo/dynamic-work-graph-design-skill-design.md. G already
answered FR-2 (how to mark a parallel-eligible node group): no new field
needed -- topological_layers() infers independence purely from
depends_on/edges, so the new Skill's job is just "express real
dependencies honestly, don't add fake ones."

New Skill skills/design-dynamic-work-graph/SKILL.md: the node-boundary /
zero_token-vs-needs_judgment / per-node self-contained task_prompt
methodology, wired into agent_profile.py's FRONTMATTER for coder and
validator (Planner's own doc-chain path is untouched -- FR-4 only names
Coder/Validator).

work_graph_plan.py: new _GENERIC_PROMPT_TEMPLATE + generic_node_prompt_builder(),
used whenever org_node != 'planner'. Planner keeps its existing fixed
brd/prd/sdd/benchmark/... chain (_PROMPT_TEMPLATE) completely unchanged --
zero regression risk to the one real production planning path.

Scoped per the requirements doc's non-goal #1 ("prove the mechanism works,
don't cover every real scenario yet"): does NOT wire into
e2e_pipeline.py::implement_code()'s existing single-node production path.
New tests prove the mechanism itself: a Coder scenario that naturally
splits into 3 independent modules produces a correctly-shaped
graph_manifest, topological_layers() puts all three in one concurrent
layer (ties E directly to G), and generic_node_prompt_builder drives it
through run_graph() to completion.

Full src suite (580 tests) passes with zero regressions.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Implements docs/todo/work-graph-parallel-execution-design.md: run_graph()
now schedules graph_manifest nodes layer-by-layer (topological_layers(),
Kahn's algorithm grouped by round instead of flattened), running a
multi-node layer's nodes concurrently via ThreadPoolExecutor (default 4
workers) with a barrier between layers; a single-node layer stays
synchronous, matching every real graph_manifest observed so far.
topological_order() is now a thin flattening wrapper, unchanged behavior
(regression-tested).

_LockedConn/_FetchedRows makes the existing scattered conn.execute() call
sites in work_node_run.py/work_graph_orchestrate.py/execution_log.py safe
to call from multiple threads without touching those call sites -- note
the lock must cover the full execute()-through-fetchone()/fetchall()
cycle, not just execute() itself, or two threads can still collide on the
shared sqlite3 connection handle. That gap was caught for real (not
theoretically) by RunGraphRealSqliteConcurrencyTest during development --
committing the fixed version, not the first draft.

create_worktree() (work_node_run.py) gets a module-level lock around the
`git worktree add` call for concurrent layers touching the same repo.

New tests: layer grouping, same-layer concurrency + inter-layer barrier,
one node's failure not cancelling a concurrent sibling (WorkGraphLayerError
aggregates), breakpoint-recovery resume of a concurrent layer, a quota-wait
timeout coexisting with a sibling's real persisted output, real (non-mocked)
sqlite under concurrent writes across several rounds, and real concurrent
`git worktree add` calls. Full src (575 tests) + supervisor (125 tests)
suites pass with zero regressions.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

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