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SKILL verified MIT Self-run

Feature Research

skill-tianea2160-claude-skills-feature-research · by Tianea2160

Research phase of a feature workflow. Explore the codebase in parallel, gather external best practices, and produce an approved Plan file at .claude/plans/<slug>.md. Usage: /feature-research <feature description> [--plan <path>]

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Install

$ agentstack add skill-tianea2160-claude-skills-feature-research

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

feature-research

First stage of the 4-skill feature workflow (feature-research → feature-work → feature-test → feature-review). This skill defines what to build by exploring the codebase, consulting external sources, and writing an approved Plan file that later skills consume as a contract.

$ARGUMENTS is the feature description. If absent, collect the goal with AskUserQuestion before proceeding.

> Language note: This skill is authored in English per .claude/rules/skill-authoring.md. User-facing output (AskUserQuestion text, Plan file contents, mini-report) MUST follow the project's CLAUDE.md language preference. Example labels in references are English for authoring consistency only.

Invariants

  • User questions and choices use AskUserQuestion — never plain text prompts.
  • Plan approval uses EnterPlanMode → write Plan → ExitPlanMode.
  • External web research uses the external-research agent (never general-purpose; its WebSearch/WebFetch arrive deferred and the agent exits with zero tool uses).
  • Every delegated agent prompt ends with the fixed return schema (see references/plan-schema.md §Agent Return Schema) so only summaries return to main context.

References

  • [references/plan-schema.md](references/plan-schema.md) — Plan file contract shared by all 4 feature-* skills (frontmatter, sections, status machine, agent return schema).
  • [references/plan-template.md](references/plan-template.md) — Concrete template for writing the Plan body.
  • [examples/good-plan.md](examples/good-plan.md) — Worked example demonstrating the expected specificity.

Workflow

1. Parse arguments & scope

  1. Extract the feature description from $ARGUMENTS. If missing or ambiguous, call AskUserQuestion for: goal, constraints, priority (must-have vs nice-to-have), expected outcome.
  2. Derive a feature ` (kebab-case, ≤40 chars). Default plan path: .claude/plans/.md. Override if --plan ` was supplied.
  3. If the plan file already exists, ask via AskUserQuestion whether to overwrite, append, or pick a new slug.

2. Parallel exploration (4 agents, single message)

Launch all four in one Agent block. Each prompt includes the feature goal and project-language note, and ends with the fixed return schema from references/plan-schema.md.

  • Agent A-1 — Reusable code (subagent_type: Explore): find existing utilities, helpers, and components the new feature should reuse. Return path:line — purpose.
  • Agent A-2 — Impact surface (subagent_type: Explore): trace imports, call chains, and shared types touched by the change. Return affected files with reason.
  • Agent A-3 — Existing patterns (subagent_type: Explore): locate analogous implementations. Return naming, directory, error-handling conventions to follow.
  • Agent B — External best practices (subagent_type: external-research): the agent's own system prompt enforces sections, citations, and counts — only pass the goal, stack versions (detected from package.json / build.gradle / pyproject.toml / etc.), and architectural constraints from CLAUDE.md.

3. Synthesize

Compose findings into the Plan body. Before writing any new code idea, confirm it is not already covered by Agent A-1's reuse list. If critical information is missing, ask the user via AskUserQuestion before drafting the Plan.

4. Approve the plan

  1. Call EnterPlanMode.
  2. Write the Plan body following references/plan-template.md. Match the specificity of examples/good-plan.md.
  3. Call ExitPlanMode for user approval.
  4. On approval: write the Plan file to the resolved path with the frontmatter defined in references/plan-schema.md and status.research: done.
  5. On revision request: update the Plan, optionally re-run step 2 exploration for gaps, then re-submit.

5. Mini-report (outline style)

Emit a final outline-form report as model text. Follow the project's language preference. Labels shown below are reference-only; translate at runtime.

──────────────────────────────────────────
  ✓ feature-research done   ****
──────────────────────────────────────────

**▸ Summary**
  - **Goal captured** — 
  - **Exploration** — , 
  - **Plan approved** — **EnterPlanMode → ExitPlanMode**

**▸ Artifacts**
  - `.claude/plans/.md` — **Plan contract** (status.research: done)

**▸ Metrics**
  - Reuse hits ****
  - External sources ****
  - Risks flagged ****

**▸ Next steps**
  - **Run `/feature-work `** to execute tasks
──────────────────────────────────────────

Outline rules: no complete sentences; bolden nouns, identifiers, numerics, and status words; symbols only from ✓ ⚠ ✗ ▸; no full path dumps. Never emit the report via Bash — output as model text.

Constraints

  • SKILL.md body length ≤ 200 lines.
  • Do not inline exploration content here; reference files hold the contract and templates.
  • Never embed Plan body text into an agent prompt — pass the path, let the agent read it.
  • Do not proceed to feature-work from inside this skill; that is the wrapper's responsibility.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.