askill
artifact-contracts

artifact-contractsSafety 85Repository

Trigger — "define artifact contract", "schema for agent handoff", "what should stage X produce", "input/output contract", "validate agent output shape", "contract between agents". Skip — single-agent tasks with no handoff, pure code generation with no multi-stage pipeline, or when the artifact format is already fully specified in an existing contract file.

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Updated 3/17/2026

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SKILL.md

Purpose

Define explicit input/output schemas for artifacts passed between agents or pipeline stages. Every producer knows exactly what shape to emit; every consumer knows exactly what shape to expect. Eliminates silent data-loss and schema drift across multi-agent workflows.

When to use

  • A multi-agent workflow hands data from one stage to another and the schema is undocumented.
  • An agent's output is consumed by a downstream agent and validation is missing.
  • Contract versioning is needed because the artifact shape is evolving across iterations.
  • A new pipeline stage is being added and its expected inputs/outputs must be specified.

Do NOT use when

  • The task is a single-agent, single-step operation with no handoff.
  • An existing contract file already fully covers the artifact shape (update it instead).
  • The work is pure prose generation where structured schemas add no value.

Operating procedure

  1. Run grep -r "contract" --include="*.md" --include="*.json" --include="*.yaml" in the repo to find existing contract definitions.
  2. List every pipeline stage involved in the workflow in a numbered table: | # | Stage | Producer Agent | Consumer Agent |.
  3. For each stage boundary, write a JSON Schema or TypeScript interface defining the artifact with required fields, types, and descriptions.
  4. Add a version field (semver string) to every contract schema — start at 1.0.0 for new contracts.
  5. Define validation rules: list which fields are required vs. optional, acceptable value ranges, and enum constraints.
  6. Write a validate_artifact(data, schema) pseudocode block showing how the consumer should reject malformed input.
  7. Create a producer/consumer pairing table: | Contract Name | Producer | Consumer | Version | Breaking Change Policy |.
  8. Add a _contract_meta envelope to each artifact specifying schema_version, produced_by, produced_at (ISO-8601), and checksum (SHA-256 of payload).
  9. Run a dry-run validation: pick one real or sample artifact, apply the schema, and list any violations found.
  10. Write the final contract files to contracts/ (or the repo's equivalent directory), one file per stage boundary.

Decision rules

  • If a field is consumed by any downstream agent, it is required — never silently optional.
  • If two producers emit the same artifact type, unify into one schema and version it; do not fork.
  • Breaking changes (removing fields, narrowing types) require a major version bump and a migration note.
  • Non-breaking changes (adding optional fields) require a minor version bump.
  • If a consumer receives an artifact that fails validation, it must halt and return a structured error — never silently drop fields.

Output requirements

  1. Contract Schema — one JSON Schema or TypeScript interface per stage boundary.
  2. Pairing Table — maps every producer to every consumer with version and change policy.
  3. Validation Report — dry-run results showing pass/fail per field for a sample artifact.
  4. Migration Notes — for any version bump, a list of what changed and how consumers should adapt.

References

  • references/delegate-contracts.md — patterns for structuring delegation handoff.
  • references/checkpoint-rules.md — when to checkpoint before/after artifact production.
  • JSON Schema specification (https://json-schema.org/) for schema authoring.

Related skills

  • autonomous-run-control — contracts govern what a run must produce before it can terminate.
  • collaboration-checkpoints — checkpoints often trigger contract validation.
  • goal-decomposition — decomposed tasks need contracts at each task boundary.
  • verification-before-advance — verification uses contracts as the acceptance criteria.

Failure handling

  • Missing contract: If no contract exists for a stage boundary, create one before allowing data to flow — never infer schema from a single sample.
  • Schema mismatch: If a produced artifact fails validation, block the pipeline and emit a diff showing expected vs. actual shape.
  • Version conflict: If producer and consumer expect different versions, halt and surface both versions for reconciliation.
  • Ambiguous ownership: If no single agent owns a contract, assign ownership explicitly before proceeding.

Install

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Requires askill CLI v1.0+

AI Quality Score

89/100Analyzed 3/28/2026

High-quality, well-structured skill for defining artifact contracts in multi-agent workflows. Provides comprehensive 10-step procedure with decision rules, versioning policies, validation logic, and failure handling. Clear when-to-use/do-not-use triggers make it easy to determine applicability. Includes useful metadata (tags, compatibility, maturity) and references related skills. Suitable as a reference skill for any multi-agent system requiring schema contracts between stages.

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Metadata

Licenseunknown
Version-
Updated3/17/2026
Publisherchelch5

Tags

artifactcontractshandoffmulti-agentschema