Skip to content
Agentmart
Submit a tool

research

Investigate a question against high-trust primary sources and capture the findings as a cited Markdown file in the repo.

Skill by Yeshwanthyk

IndexedMIT★ 6
Write a review

Chalk Labs

Need help deploying research?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

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/yeshwanthyk-research

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Investigate a question against high-trust primary sources and capture the findings as a cited Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.

Use cases: documents, backend, research, agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/research

What's inside

Skill name
research
Description
Investigate a question against high-trust primary sources and capture the findings as a cited Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
License
MIT
Metadata
credits: Matt Pocock, https://github.com/mattpocock/skills/tree/main/skills/engineering/research, MIT (see LICENSE)
Instructions
17 lines in SKILL.md · view on GitHub

Files (3)

  • LICENSE
  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# Research

Hand the reading to a **background agent** so you keep working while it reads. Brief it per the [delegation contract](../yesh-router/references/delegation.md): the question, what the answer is for, where to save, and the source rules below.

## The agent's job

1. **Pin the question.** Restate it with the versions, platforms, and dates it depends on. A fact about the wrong version is a wrong fact.
2. **Read primary sources.** Official docs, versioned source code, specs, release notes, and first-party APIs, not a write-up of them. Follow every claim back to the source that owns it. Authority is per claim: a vendor can document its feature but cannot establish that it is the best choice. For depth, counterevidence, and source roles, read [research sources](../deep-dive-explainer/references/research.md).
3. **Check the claims that matter.** Where the answer turns on behavior, confirm it in the source or with a small probe rather than trusting the prose. Record what was checked and how.
4. **Write one Markdown file.** Lead with the answer. Cite each claim with a link and the version or date. Mark each claim as checked, documented only, or inferred. List open questions and anything the sources could not settle.
5. **Save it where the repo keeps such notes.** Match the existing convention; if there is none, pick a sensible path and say where.

## Completion

Research is done when the file is saved, its answer addresses the pinned question, every claim carries a source with its version or date, and unresolved points are listed rather than smoothed over. Report the path and a two-line summary.

From Yeshwanthyk/agent-skills, MIT.

More from Yeshwanthyk/agent-skills

Signals

Stars
6
Forks
0
Open issues
0
Last commit (this folder)
Oct 13, 2026 (18 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Yeshwanthyk

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get research running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying research?

CallGet help
Cite this page

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