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scout

Research the web for solutions, competitors, alternatives, or prior art for a decision facing this project — then store the findings in project memory so they…

Skill by TheWinci

IndexedApache-2.0★ 30
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/thewinci-scout

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About

Research the web for solutions, competitors, alternatives, or prior art for a decision facing this project — then store the findings in project memory so they survive the session. Use when choosing a library or approach, comparing tools, checking what others do, or evaluating whether to build vs adopt.

Use cases: research

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/scout

What's inside

Skill name
scout
Description
Research the web for solutions, competitors, alternatives, or prior art for a decision facing this project — then store the findings in project memory so they survive the session. Use when choosing a library or approach, comparing tools, checking what others do, or evaluating whether to build vs adopt.
License
Apache-2.0
Instructions
14 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Scout

Goal: a sourced recommendation for a project decision — and it persists. Web research evaporates; the point of this skill is that the comparison and the *why* land in mimirs memory, so a later session recalls "we evaluated X vs Y and picked Y" instead of re-researching. Where `research` answers a question from the codebase and `deep-research` writes a generic report, scout weighs external options against *this* project and records the verdict.

1. **Frame the decision** — name what's being chosen and the constraints. Ground it in the project: `search`/`read_relevant` for what we already use (stack, existing deps, conventions) so the recommendation actually fits. A fast option that doesn't match the stack is not a real option.
2. **Search the web** — `WebSearch` for solutions, competitors, alternatives, and prior art. Cast wide first, then narrow to the serious contenders.
3. **Dig into contenders** — `WebFetch` the primary sources (docs, repos, release notes) for the specifics that decide it: features, tradeoffs, maturity, license, last release / activity, and known issues. Prefer source over summaries.
4. **Test fit** — for each contender, check it against the project from step 1: does it match the stack, the constraints, the conventions? `read_relevant` the code it would touch.
5. **Compare** — a short table: option, key tradeoffs, maturity/license, fit for this project. Pick one, with the reason.
6. **Persist** — `create_checkpoint` (type `decision`) with the comparison, the choice, and why — this is the durable record; stamp the date and the versions you checked, since web facts go stale. `annotate` a file **only** when a finding pins to specific code (a CVE on the import site, a deprecated API on the call site) — not for general option notes, which have no file to anchor to.

Finish: the recommendation with its tradeoffs and source links, and confirm it's saved as a checkpoint (with date + versions) so a future session can recall the decision. Flag findings likely to age out.

From TheWinci/mimirs, Apache-2.0.

More from TheWinci/mimirs

Signals

Stars
30
Forks
3
Open issues
0
Last commit (this folder)
Jun 5, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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scout skill. Agent Mart. https://agentmart.dev/skills/thewinci-scout (last updated 2026-10-24)