joenandez/spectre/spectre-research

Claude Code and agent skill by joenandez/spectre

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Research a codebase to answer a question — fan out read-only agents (finder/analyst/patterns, web-research for 3rd-party), then synthesize evidence-backed findings into a saved research doc with file:line citations. Use when the user asks \"how does X work\", \"where does Y live\", \"investigate/research Z before planning\", or wants a written research artifact. Do NOT use to write code, plan a feature (use spectre-plan), or for a one-off lookup that needs no saved doc.

Install

npx vskill@latest install joenandez/spectre/spectre-research

SKILL.md

research

Codebase research: spawn parallel read-only agents, synthesize their findings into one evidence-based document. Live code is the source of truth.

Inputs

  • Research question / topic (from $ARGUMENTS). If absent, send an immediate reply asking for it and stop.
  • Optional explicit managed feature name/root or an artifact beneath one.
  • Any files the user names (tickets, docs, JSON).

Working set

  • FEATURE_ROOT = .spectre/features/<feature-name>/, resolved from the input or chosen autonomously below. Read branch/commit/repo metadata via tool at write time, never inline earlier.
  • Agents (read-only, run in parallel): @spectre:finder (where code lives), @spectre:analyst (how it works), @spectre:patterns (similar implementations), @spectre:web-research (3rd-party docs — instruct it to return LINKS). Context7 MCP only if the user explicitly asks for library docs.

Feature root contract

  • Reuse a managed FEATURE_ROOT only when explicit/current-thread evidence ties it to this work (physical directory wins; never branch/recency/lifecycle/scans); distinct work ignores ambient roots. Otherwise, including on collision, standalone MUST first load and follow @skill-spectre:spectre-feature-root through DONE; orchestrated calls escalate. Keep writes beneath it and pass it unchanged.

Method / guardrails

  1. Immediate reply first — acknowledge the topic and state the feature name/root the workflow will use (or ask for the topic) with NO tool calls in the opening turn.
  2. Read named files fully in main context (no limit/offset) before decomposing.
  3. Decompose the question into areas; track with TodoWrite. Strategy: locate → analyze promising hits → fan out parallel reads. Tell each agent what to find, not how to search.
  4. Wait for ALL agents before synthesizing. Compress each return to a 1–2K summary; do not write per-agent scratch files.
  5. Synthesize: prefer live-code findings as source of truth; connect findings across components; cite concrete path:line; answer the user's actual question with evidence.

Outputs + DONE

Write one research doc to {FEATURE_ROOT}/research/{topic}_{MMDDYY}.md; the research doc begins below its title with Feature: <feature-name> and Feature Root: .spectre/features/<feature-name>. DONE when:

  • YAML frontmatter: date (ISO+tz), git_commit, branch, repository, topic, tags, status: complete, last_updated (YYYY-MM-DD), last_updated_by. Multi-word keys snake_case.
  • Sections, in order: 1 Title # Research: {topic} · 2 Metadata header · 3 Research Question · 4 Summary · 5 Detailed Findings (by area, with file:line) · 6 Code References · 7 Architecture Insights · 8 Related Research · 9 Open Questions.
  • Every claim is backed by a path:line reference; live code prioritized over docs.
  • Permalinks: if on main/master OR the commit is pushed, replace local refs with https://github.com/{owner}/{repo}/blob/{commit}/{file}#L{line} (gh repo view --json owner,name); else keep local refs.
  • A concise findings summary (with key file refs) is presented to the user.

Handoff

HandoffDetails
🧭 Current phaseDone
📦 What was just doneResult
▶️ Proposed next stepRender resolved action.

Follow-ups update the same doc (metadata + timestamped section); close with one next-step pointer: Plan with resolved research document path or further research.

Escalate-If

  • The question is too broad/ambiguous to scope agents → ask one clarifying question before fanning out.
  • Findings contradict each other or the live code can't be reached → surface the conflict in Open Questions rather than guessing.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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

Source

Popularity

Repository stars
164
Repository forks
16
7-day trend score
31

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

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