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Find current external tools, services, libraries, MCP servers, APIs, or models that could solve a concrete task faster than building from scratch. Use when the user needs ecosystem research before spending build time or money.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | tool-scout |
| description | Find current external tools, services, libraries, MCP servers, APIs, or models that could solve a concrete task faster than building from scratch. Use when the user needs ecosystem research before spending build time or money. |
Research the current tool landscape, verify finalists at primary sources, and recommend the smallest honest option set without padding weak candidates into the answer.
/Users/nick/.codex/skills/tool-scout/references/search-patterns.md for search patterns and /Users/nick/.codex/skills/tool-scout/references/evaluation-matrix.md for the comparison frame only when needed.Try first, Avoid for now, or Build it ourselves instead when that is honestly the best call.Try first, Avoid for now, or Build it ourselves instead.$product-council or $adr-log.Next skill options (only if needed): $product-council — debate a high-impact or ambiguous tool choice; $adr-log — record the chosen tool and rejected alternatives durably; $spec-bundle — turn the chosen tool into contracts, boundaries, and implementation tasks.Turn a GitHub Issue into a clean human-agent control loop with canonical issue state, deterministic PRD intake, explicit machine markers, and clear handoff points. Use when GitHub should be the durable control surface instead of chat alone.
Delegate a large read-only cross-document or cross-file analysis to the verified long-context worker while the ordinary Codex thread stays in control. Use for big audits, due diligence, large literature synthesis, policy mapping, or other tasks that genuinely need much larger context.
Audit and improve a public GitHub repository's discoverability and any linked canonical site without confusing repository presentation with website SEO. Use for repository SEO, GitHub discoverability, topics/homepage/README optimization, GitHub Pages SEO, AEO, or agent-friendly public documentation.
Create, edit, analyze, or format spreadsheets (`.xlsx`, `.csv`, `.tsv`) with `openpyxl` and `pandas`, especially when formulas, references, and formatting must survive the change. Use when spreadsheet integrity matters more than ad hoc CSV hacking.
Analyze and reshape spreadsheet, CSV, or TSV data with `pandas` and stable output files. Use when the job is aggregation, filtering, joins, metrics, or tabular transformations rather than workbook-style editing.
Create or edit `.xlsx` workbooks while preserving formulas, references, formatting, and layout. Use when workbook integrity matters more than raw data analysis.