본문으로 건너뛰기
cccskills
무료GitHub에 공개

skill-research-process

Builds a skill from official documentation through categorized research, citation review, integration, and final validation. Use when researching a tool or library before creating a skill, when "research for skill" or "create comprehensive skill" is requested, or when extensive multi-source documentation gathering is needed.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(4)

  • SKILL.md6.6 KB
  • references/agent-prompts.md2.4 KB
  • references/gaps-analysis.md4.8 KB
  • references/mcp-tools.md2.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Skill Research Process

Build a skill from source-backed documentation. This is an authoring workflow, not a research-vault entry workflow: use research-curator only when the user also requests a durable research/ entry.

Invocation and Preconditions

Read the invocation text supplied by the active harness. It must identify the tool or library. Derive the target skill path only when the user supplied it or repository context makes it unambiguous; otherwise ask for the target path before creating files. Treat an unsubstituted argument placeholder as missing input.

Before mutation, read the existing target skill when it exists, its relevant package instructions, and plugin-creator:skill-creator. Use its existing structure instead of inventing a second convention. Create a new skill only with that skill's initialization procedure.

Use the host's available worker mechanism rather than literal harness-specific Task, Agent, or Skill calls. Give every worker a concrete file scope, source set, required output, and acceptance checks. Launch independent category workers concurrently when the host supports it; otherwise run the same category handoffs sequentially. Preserve each structured worker result and its exact failure reason for the final relay.

Process Overview

Stage 1: Categorize → scratch research plan
    ↓
Gate 1: categories are distinct, complete, and sourceable
    ↓
Stage 2: Research → category references and indexes
    ↓
Gate 2: citations, provenance, and gaps are verified
    ↓
Stage 3: Integrate → target SKILL.md links and usage guidance
    ↓
Gate 3: package-appropriate structural, link, and source validation

Stage 1: Categorize

  1. Create .tmp/scratch/plans/{skill-name}-research-plan.md; it is an intermediate plan, not durable backlog state.
  2. Launch one available research worker with the Categorization handoff in Agent Prompts. It writes only that scratch plan.
  3. Review the plan before research:
    • categories are distinct and each has a named boundary;
    • all documented aspects of the target have a category or an explicit out-of-scope reason;
    • each category names official sources to inspect;
    • categories are narrow enough for one worker and broad enough to produce a useful index.
  4. Merge or redefine overlaps before Stage 2. A missing source or unclear target blocks only the affected category; record the exact gap in the scratch plan.

Stage 2: Research

  1. Launch one available research worker per approved category with the Research Handoff. Give each worker an exclusive references/{category}/ directory under the target skill.
  2. Each worker creates an index.md, detailed reference files, and a structured result containing STATUS, ARTIFACTS, SOURCES, GAPS, and WARNINGS.
  3. Preserve exact worker counts, artifact paths, unavailable-source errors, and unresolved gaps. Do not convert a failed source fetch into a claim about the tool.

Gate 2: Source and Citation Review

For every category, confirm:

  • every factual claim is supported by a source the worker read during this run;
  • each citation records URL and access date, and source passages are attributable;
  • official documentation is the authority for API behavior; secondary sources are labeled as such;
  • examples are source-attributed or actually exercised before being presented as working;
  • a source gap is written as NOT_VERIFIED: {claim} or an explicit documentation gap, never filled from model knowledge;
  • the category index links to every reference file with relative paths.

Return a category with unsupported claims to the same worker with the exact claims, not a summary. Stop a category that cannot obtain a source after its documented fallback and relay the exact reason; do not silently substitute an uncited overview.

Stage 3: Integrate

  1. Launch or perform the Integration Handoff after every category has either passed Gate 2 or reported its explicit gaps.
  2. Read all category indexes, then update the target SKILL.md with concise links and routing instructions. Keep detailed source material in references/.
  3. Preserve the target skill's existing lifecycle and package conventions. Attribute external documentation where the target's existing convention requires it.
  4. Do not convert the scratch research plan into a durable backlog record. If a user-visible enhancement is deferred, create or match it through the configured backlog backend and record its logical identifier in the scratch plan.

Gate 3: Final Validation

Run the package-appropriate existing validator, then read every new or changed index and target-skill link to confirm it resolves. Verify that every approved category has an index, every index has only working relative links, and every Stage 1 category is represented or explicitly recorded as unavailable. Run the repository's changed-file checks once after the coherent change.

Failure Recovery

  • Missing documentation tools: use the available primary-source reader; if no primary source can be read, report the blocked source and do not make a claim from it.
  • Worker failure or timeout: inspect only the worker's assigned output path. Retain a complete, cited artifact that passes Gate 2; otherwise relay the exact failure and leave that category incomplete.
  • Incomplete upstream documentation: document what the source covers, label the gap, and keep the category's unsupported claims out of the target skill.
  • Interrupted run: resume from the scratch research plan and the category results already written; revalidate their citations before integration.

Final Report

Relay worker results without interpretation:

## Skill Research Result

Target: {target skill path}
Categories: {passed}/{planned}
Artifacts:
- {path}
Source gaps:
- {exact gap or none}
Validation: {exact command and result}
Scratch plan: .tmp/scratch/plans/{skill-name}-research-plan.md

References

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Add automated documentation updater to any Claude skill. Creates a Python sync script that downloads upstream docs, processes markdown for AI consumption, and maintains local cache with configurable refresh. Collects template variables, then delegates implementation through 5-phase workflow. Use when adding auto-updating reference documentation to plugins or skills.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Jamie-BitFlight/claude_skills672026년 10월 20일 업데이트

SAM-style feature initiation workflow — discovery through codebase analysis, architecture spec, task decomposition, validation, and context manifest. Use when a user asks to add a feature, plan a feature, or convert an idea into an executable SAM plan.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Jamie-BitFlight/claude_skills672026년 10월 20일 업데이트

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Jamie-BitFlight/claude_skills672026년 10월 20일 업데이트

Browser automation for AI agents using the agent-browser CLI and Playwright. Use when navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, logging into sites, or automating any browser task. Triggers on "open a website", "fill out a form", "click a button", "scrape data", "test this web app", "automate browser actions", or any programmatic web interaction request.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Jamie-BitFlight/claude_skills672026년 10월 20일 업데이트

Runs the description-drift experiment — spawns all Claude Code agents simultaneously to collect self-reported capabilities, then compares them against static frontmatter descriptions to reveal how reliable orchestrator routing based on descriptions actually is. Use when measuring description drift across the agent fleet, re-running the capability collection experiment, analyzing a specific agent's self-reported capabilities, or auditing whether frontmatter descriptions accurately reflect agent behavior.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Jamie-BitFlight/claude_skills672026년 10월 20일 업데이트

Create or adapt Claude Code agent definitions. Use when creating an agent, changing subagent configuration, selecting agent scope, or designing a specialized delegation role.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Jamie-BitFlight/claude_skills672026년 10월 20일 업데이트

Jamie-BitFlight의 스킬 모두 보기

이 스킬의 문제 신고