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Grep Research Workflow

skill

Multi-step research workflow — chains a quick orientation pass, then a deep investigation, then optional ultra-research, then an optional build artifact (slidedeck / app / spreadsheet). Use when the user wants thorough end-to-end research with a deliverable, says "do a full investigation on X", "research and then make me a presentation about X", or "comprehensive analysis of Y with a writeup". Threads jobids through referencejobs so each step builds on the prior step's findings without re-running them.

Works with: Claude Code (native)  ·  Cursor, Codex CLI (manual)
native: this artifact type is that client's own format

Category: Search — see all ranked ›

Install (Claude Code):

cp -r grep-research-workflow ~/.claude/skills/

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

Its own instructions

Its SKILL.md says when to use it, shows worked examples and states a limitation.

Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.

You searched for one. Check the rest of your stack:

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source ↗  ·  skill:Parcha-ai/grep-research-workflow

Everything on this page is public evidence and free. What it cannot know is whether you run this — check your whole config, free, in the browser. tashan Pro adds the series behind each row and names a replacement for anything dying.

Already running this? Check your whole config — free, in your browser, nothing installed. Or npx tashan-cli doctor locally, which sends nothing at all.

Measured 2026-09-12  ·  scorer s5  ·  how  ·  something wrong here?