flowing-water1/missions/mission-spec

Claude Code and agent skill by flowing-water1/missions

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Checking that the SKILL.md file is still in the repository.

Use when a mission starts from a natural-language request, a draft canonical spec, or a Markdown document without mission frontmatter and the agent must discuss requirements, write an approvable spec, record explicit approval, and hand the approved document to execution.

Install

npx vskill@latest install flowing-water1/missions/mission-spec

SKILL.md

Mission Spec

Own requirement discussion and the draft -> approved spec transition. Do not implement the work and do not write a separate implementation plan.

Declare: 使用 mission-spec skill,讨论并生成可批准的 canonical spec。

Workflow

  1. Read the request and the relevant repository context.
  2. If lite-arch-recall is installed, run it before an architecture-bearing decision against applicable docs/adr/ records. Otherwise record that architecture recall was unavailable and continue.
  3. Ask one question at a time only while a material goal, constraint, scope boundary, or acceptance condition remains unresolved.
  4. Present alternatives only when real alternatives exist. Recommend one and state concrete tradeoffs.
  5. Once the design is determined, write a draft to docs/specs/<YYYY-MM-DD>-<topic>.md.
  6. Run python scripts/validate_spec.py <spec> --allow-uncommitted-approved and fix every error.
  7. Show the final draft and require explicit user approval of that exact content. Do not implement before approval.
  8. After approval, set status: approved and add the current RFC 3339 approved_at timestamp with timezone. Do not change the approved body in the same edit.
  9. If lite-arch is installed, run its record decision gate and print the required three-line block before creating, amending, superseding, or skipping an ADR. Without lite-arch, state that the optional ADR gate was skipped.
  10. Commit the approved spec and any draft ADR created by the optional gate before execution. Then run validate_spec.py without the allow flag to prove the approved file is committed and unchanged from HEAD.
  11. Route the committed spec to mission-approved-doc, unless the user explicitly chooses ordinary direct implementation.

Canonical format

Use exactly one scalar frontmatter block:

yaml
---
mission: spec
status: draft
created: YYYY-MM-DD
---

After approval:

yaml
---
mission: spec
status: approved
created: YYYY-MM-DD
approved_at: YYYY-MM-DDTHH:MM:SS+08:00
---

Required sections:

  • Goal
  • Scope
  • Design
  • Acceptance Criteria

Add Non-goals, Alternatives, Compatibility, Security, Rollout, or Rollback only when they carry real information.

The validator accepts only unique key: scalar entries for the four declared fields. It rejects nested values, arrays, aliases, tags, duplicate keys, unknown states, invalid dates, missing fields, and additional frontmatter blocks.

Approval integrity

  • Approval applies to the exact draft the user saw.
  • Any later content change invalidates approval. Change the status back to draft, remove approved_at, and ask for approval again.
  • A later session may trust an approved spec only when validate_spec.py confirms that it exists in HEAD and the working copy is unchanged.
  • Never infer approval from positive discussion, implementation permission for another artifact, or a previous version of the document.

Writing boundary

Run humanizer-zh on prose before presenting or committing the spec. Do not let it rewrite frontmatter, code identifiers, paths, commands, dates, or machine-checked fields.

mission-spec produces and approves the spec. mission-approved-doc maps an approved spec into execution artifacts. mission-csv-execute owns execution state. Keep those responsibilities separate.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
60
Repository forks
6
7-day trend score
0

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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