• 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>
    bboonnee authored
     
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  • Real incident (2026-08-06): the skill-content migration task and the skill
    detail page bug fix were two separate tasks. Neither was asked to verify
    that migrated content is actually reachable through the DB-backed lookup
    the detail page uses. Both passed their own tests cleanly -- because both
    only ever exercised the mechanism against seeded/mocked fixture data, never
    checked whether the real producer's real output actually exists in the
    real system. The result: the skill detail page returned "not found" for
    all 12 real migrated skills, and nobody caught it until a human clicked
    through the real console.
    
    qa-task-validation (§8): passing unit tests against seeded fixtures proves
    the mechanism is correct given valid input -- it does not prove that input
    exists for real. When a feature reads data another task/process was
    supposed to have already written, Validator must independently query the
    real running system against a real (not newly-created) object.
    
    project-sdd-planning (§10): when a task's acceptance depends on another
    task's real output, the Benchmark must name a real, specific object as the
    acceptance anchor, not just describe the mechanism.
    
    Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
    bboonnee authored
     
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