research
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo.
Skill by corynaegle-ai
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/corynaegle-ai-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.
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About
Use cases: documents, backend, research, agent-building
Reviews
Write a reviewNo 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. Checked Oct 25, 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 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
- Instructions
- 9 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
When delegation is available and permitted, use one background leaf agent to investigate directly, without invoking this skill again or spawning agents. Otherwise do the research yourself. 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 where the repo already keeps such notes; match the existing convention, and if there is none, put it somewhere sensible and say where.
From corynaegle-ai/agent-skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 9, 2026 (19 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/corynaegle-ai/agent-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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corynaegle-ai
Audit and correct existing tests for real production execution, independent assertions, useful behavioral coverage, and resistance to refactors and flakiness.
SkillAFreshness: AClaude Code +9 - 0.561score
implement-recommendation
corynaegle-ai
Implement a numbered architecture recommendation from the current conversation, a supplied report, or a report in the project's docs folder, following the…
SkillAFreshness: AClaude Code +9 - 0.558score
improve-codebase-architecture
corynaegle-ai
Review architecture in a visual HTML report; use full for the whole codebase or omit it for a focused review.
SkillAFreshness: AClaude Code +9 - 0.558score
implement-spec
corynaegle-ai
Implement a spec as bounded parallel tickets on an integration branch, then review and verify the combined result.
SkillAFreshness: AClaude Code +9 - 0.553score
implement
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Implement authorized work from a conversation, spec, or ticket, then verify and review the completed changes.
SkillAFreshness: AClaude Code +9 - 0.544score
diagnosing-bugs
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Diagnosis loop for hard bugs and performance regressions.
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Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/corynaegle-ai-research (last updated 2026-10-24)