mcpField
R
research

research

github.com/hu3rrorProductivity051 installsUpdated today
Repository

About research

A skill for delegating research to a background agent that checks primary sources and saves cited findings as a Markdown file in the repository. It suits coding agents that need documented research without blocking ongoing work.

Key features

  1. 01Background-agent research
  2. 02Primary-source verification
  3. 03Claim-level citations
  4. 04Repository-local Markdown findings
  5. 05Completion notification with file path

Use cases

  1. 01Researching a question while other work continues
  2. 02Tracing claims to official documentation or source code
  3. 03Saving cited findings alongside repository work

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/hu3rror/my-skills --skill research

After installing, type/researchin Claude Code to confirm it loaded.

Bundled filesagents/openai.yaml

Details

From the project README

Spin up a background agent to do the research, so you keep working while it reads.

Its job:

  1. Investigate the question against primary sources (official docs, source code, specs, first-party APIs), not a secondary write-up of them. Follow every claim back to the source that owns it.
  2. Write the findings to a single Markdown file, citing each claim's source.
  3. Save it inside the repo's working tree, where the repo already keeps such notes: match the existing convention, and if there is none, pick a repo-relative location (e.g. docs/research-<slug>.md or next to the topic it concerns) and state it. The findings path must resolve inside the repo — check with git rev-parse --show-toplevel — so the file is a committed artifact of the work it informs.

The agent's completion is pushed back to you: when it finishes (or fails, or is stopped), a notification arrives in your context carrying the findings path. Read the file when the push lands — don't poll for it, and don't plan around reading it at a fixed time.

Comments

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