AGENT SKILL

skill-interview

Interview the user to define the characteristics of a skill they want created

适用职业人力资源
License 许可
MIT
最近更新
2026-11-10
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★ 1
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01 前言 Front Matter

name
skill-interview
type
planning
version
v0.3
description
Interview the user to define the characteristics of a skill they want created
argument-hint
[skill-name-or-topic]
context_intake
deep
required_conventions
[ "alignment-page" ]

02 资源文件 2

03 SKILL.md 正文

Skill Interview

Invoke as $skill-interview.

Use this skill when the user wants to create or substantially redesign a skill but the desired behavior, scope, triggers, outputs, validation, or agent compatibility is not yet clear. This skill interrogates the user and turns the answers into a creation-ready skill brief. It does not create the skill itself. After the brief is complete: for a personal project-local skill route to $create-local-skill; for a repo-managed skill in the agentic-skills repo, hand the brief to an agent working in that repo to implement following the skill conventions (docs/skill-anatomy.md, CLAUDE.md skill-versioning); for a change to an existing shared skill route to $session-triage, which emits a managing-layer handoff payload for the fix.

Process

  1. Identify the target skill idea.

    • Treat the user's initial request as a draft, not a complete requirement.
    • Resolve the likely skill name in kebab-case when possible.
    • If the request is a correction to an existing shared skill or workflow gap, route to $session-triage after the interview instead of scaffolding a new skill.
    • If the user wants an experimental personal skill under ~/.codex/skills, plan for $create-local-skill; otherwise default to a repo-managed skill implemented directly in the agentic-skills repo.
  2. Gather local evidence before probing.

    • Search for overlapping skills in the active skill list and repository paths such as base/codex/, base/claude/, and packs/*/{codex,claude}/.
    • Read the closest existing skill contracts and any relevant tasks/lessons.md entries before asking detailed questions.
    • If an existing skill already covers the request, explain the overlap and ask whether the user wants an update, alias, narrower variant, or new skill.
  3. Surface a lightweight assumptions checkpoint.

    • Before deep probing, present 3 to 7 assumptions most likely to affect the skill contract.
    • Tag each assumption:
      • [from request] — explicitly stated by the user
      • [from existing skill] — derived from a current skill contract
      • [from lessons] — derived from tasks/lessons.md
      • [from codebase] — derived from repository conventions or test harnesses
      • [inferred] — a default judgment that needs confirmation
    • Bias toward assumptions that affect trigger rules, allowed side effects, deliverables, verification, benchmarkability, and next-step routing.
    • Deliver the checkpoint inline as the final message text of its own turn — never only as mid-turn text in a turn that ends with a tool or command call. In the next turn, ask the user to confirm or correct it together with one focused interview question so momentum is kept.
    • If an [inferred] assumption is corrected, preserve the correction in the interview log and final brief.
  4. Interview one material decision at a time.

    • Codex cadence: ask one primary decision question per turn by default. Use short follow-up bullets only when they clarify the same decision.
    • If already in Plan mode, request_user_input may present 2 to 3 real options for the current material decision. Otherwise ask one concise direct question in plain text.
    • Research and recommend by default: use local codebase evidence and, when the user requests current external facts, web evidence before asking the user to choose.
    • For each material choice, explain the options, recommend one, and ask the user to approve, adjust, or override.
  5. Cover the skill characteristics completely.

    • Continue until the brief captures:
      • Skill name and one-line description
      • Target location: repo-managed, local-only, pack-local, Codex-only, Claude-only, or mirrored
      • Trigger rules and explicit non-triggers
      • Inputs and argument syntax
      • Required evidence gathering before questions or edits
      • Interview cadence or execution workflow
      • Deliverables and file paths
      • Side-effect permissions and safety constraints
      • Verification and benchmark coverage strategy
      • Next-step routing after successful completion
      • Relationship to overlapping skills
    • For mutation-capable skills, explicitly define whether the skill should commit and push by default.
    • For repo-managed skills, include benchmark coverage expectations in the brief.
  6. Coverage checkpoint.

    • Before concluding, summarize each covered area with the decision made and source evidence, delivered inline as the final message text of its own turn.
    • In the next turn, ask: "Does this cover the skill you want, or is there any behavior, boundary, or output we should revisit?"
    • Do not write final deliverables until the user confirms the checkpoint or provides final corrections.
  7. Write deliverables.

    • Create specs/[skill-name]-skill-brief.md with:
      • ## Overview
      • ## Goals
      • ## Non-Goals
      • ## Skill Contract
      • ## Workflow
      • ## Inputs and Outputs
      • ## Safety and Side Effects
      • ## Verification and Benchmark Coverage
      • ## Related Skills
      • ## Open Questions
      • ## Assumptions & Risks
      • ## Recommended Creation Route
    • Create specs/[skill-name]-skill-interview.md with:
      • Assumptions checkpoint and corrections
      • Questions asked
      • Options and recommendations presented
      • User responses and decisions
      • Deviations from the initial request
    • If the repository uses another canonical specification directory, use that directory and note the path.

Next-Step Routing

After writing the brief and interview log, recommend exactly one next command:

  • Implement a repo-managed skill directly in the agentic-skills repo, following docs/skill-anatomy.md and CLAUDE.md skill-versioning, using the brief as the spec.
  • $create-local-skill <skill-name> for personal local-only skills.
  • $session-triage <existing-skill> <gap> when the interview found that an existing shared skill should be updated instead of creating a new skill — it emits a managing-layer handoff payload for the fix.
  • $init-agentic-skills (guided pack setup) or a pack-local creation route when the skill belongs inside a project-local pack rather than base skills.

Output exactly two lines beyond the normal report:

  • Next work: <specific skill creation or update task>
  • Recommended next command: <one command>

Alignment Page

Follow the shared alignment-page convention via the packaged convention resolver; output path is alignment/skill-interview-{topic}.html.

Constraints

  • Do not create or edit the final SKILL.md during the interview unless the user explicitly asks to skip the brief and create the skill now.
  • Do not assume a new skill is needed when an existing skill update would satisfy the workflow gap.
  • Do not batch unrelated interview questions.
  • Do not invent benchmark coverage; if deterministic local coverage is unsafe or impractical, mark the coverage plan as blocked with a reason and next command.
  • Keep the final brief implementation-ready enough that an agent implementing in the agentic-skills repo, or $create-local-skill, can execute without re-interviewing the same decisions.

Default Shipping Contract

Follow the shared shipping contract convention in CLAUDE.md.

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