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dag-planner

Design and validate versioned DAGs with typed dependencies, gates, and evidence-bound readiness. NOT for executing a DAG, granting work authority, or treating an unverified gate as cleared.

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  • SKILL.md6.4 KB
  • references/INDEX.md269 B
  • references/methods-and-sources.md888 B
  • references/sources.md373 B
  • references/worked-planning-fixtures.md4.7 KB

SKILL.md(원문)

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DAG Planner

Use for multi-output work with stated predecessors, gates, and artifacts. It plans; it does not execute, authorize effects, or guarantee schedules.

Procedure

  1. State every output contract, producer evidence, consumer, and type: data, control, evidence, authority, resource, preference, or optional information.
  2. Add a hard edge only when its consumer cannot proceed. Capacity contention is a resource constraint, not automatically precedence; optional input does not block; approval/authority gates protected effects.
  3. Permit multiple roots. Validate hard predecessors topologically; return a closed cycle witness with typed edges, never auto-delete an edge.
  4. Split/merge by ownership, review boundary, invariant, and failure isolation. Vague work needs a refinement question and stop condition.
  5. Freeze graph revision before a run; a change is Vn+1. Reuse an artifact only when contract/provenance remains valid.
flowchart TD
 A[Provenanced source]-->B[Analysis]
 A-->C[Review]
 B-->D[Release draft]
 C-->D
 D-->E{Scan receipt valid?}
 E-- no -->M[Missing or invalid result: hold]
 E-- yes -->G{Approval binds this draft?}
 G-- no or missing -->M
 G-- yes -->U{Authorized to publish?}
 U-- no -->X[Denied: do not publish]
 U-- yes -->F[Publish approved digest]
 F-->V[Readback]
 O[Optional input]-. nonblocking .->B
 R[Capacity resource]-. constrain .->B
flowchart TD
 P[Proposed typed revision]-->C{Cycle witness?}
 C-- yes -->W[Return closed witness and edge types]
 W-->H[Hold for authorized repair]
 C-- no -->Q{Contract and gate definitions valid?}
 Q-- no -->F[Failed validation: reject revision]
 F-->H
 Q-- yes -->N[Admit immutable revision]

Diagnostics and examples

Schema equality is not provenance, freshness, scope, or meaning. A missing producer blocks consumers unless a replacement satisfies that contract. A collect→analyze→recommendation pipeline is a valid linear case; independent research may converge with a human gate; failed quality can propose an alternate path only with common comparison evidence. A local draft may proceed while approval is pending only when separated from the gated effect.

Constructed eight-task check

A2→B3,C2; B,C→D1; D→E2; C,E→G1; G→F1; F→V1. G is a human gate with constructed one-tick delay, not a compute slot; two identical non-preemptive compute slots schedule A[0,2), B[2,5), C[2,4), D[5,6), E[6,8), G[8,9), F[9,10), V[10,11). Makespan 11 is a feasible constructed plan only if the human approval arrives in the assumed interval, binds the required artifacts, and publication authority remains valid. Otherwise the effect stays blocked; elapsed time is not approval.

Sources

Python graphlib supports predecessor readiness/cycle behavior; Kahn 1962 is historical-only here. Immutable revisions/typed contracts are local policy.

Decision methods

Decompose when outputs have separate ownership, evidence, failure isolation, or independently ready paths; keep a single coherent step or linear pipeline otherwise. Choose a node as agent work, bounded vague refinement, human gate, or restricted external request; vague work is not ready until its question and stop condition are recorded. Set granularity by output/review/invariant/failure boundary: split an opaque multi-output unit; merge only work with one owner and one recoverable contract. Classify dependencies as hard data/control/evidence/authority, optional input, resource constraint, or preference. Modify only through a new revision after repeated failure, quality/coverage evidence, unnecessary path evidence, or an evidenced alternative.

Five diagnostic procedures

Schema drift: capture producer digest, schema, freshness, scope and meaning; add an adapter only if it restores the consumer contract. Cycle: return the closed witness with every edge type; retain graph until authorized repair. Granularity explosion: measure handoff/review cost and merge adjacent work only when contracts remain observable. Ghost dependency: audit shared files, locks, APIs, and hidden reads; model resource/evidence directly rather than serialize all work. Wave starvation: inspect the eligible frontier and resource fit; an idle slot is not proof of malformed structure.

Three corrected worked examples

Simple analysis. collect_feedback outputs {items, provenance}; analyze_sentiment requires that evidence and outputs {themes, scores}; recommendations consumes those analysis outputs with their source lineage. If collection lacks provenance, analysis stays blocked; no empty recommendation is fabricated.

Complex research. market_research and competitor_analysis produce separate immutable artifacts, converge at strategy_synthesis, then human_review emits approval evidence. presentation_draft may use synthesis, but publish_presentation requires review evidence and authority; no approval is assumed.

Quality replan. V1 is review -> quality_check. A failed check with recorded criteria proposes V2 adding alternative_review -> compare and compare -> synthesis; compare consumes both candidate digests and the same criteria. If either result is absent, synthesis reports unresolved rather than “best.”

Quality and boundary checks

Every node must name purpose, input/output contract, owner, failure outcome, and readiness evidence. Validate references, typed hard edges, multi-root topology/cycle witness, resources, vague-node refinement, approval evidence, and version identity. Planning is not execution, output validation, skill selection, ETL, or UI orchestration; a schedule remains a plan until independently observed.

See typed dependency contracts and source scope and the worked planning fixtures for full inputs, outputs, and failure branches.

Bundle navigation

references index.

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