research
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo.
Skill by TudeOrangBiasa
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/tudeorangbiasa-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
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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 (3)
- CREDITS.md
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
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 where the repo already keeps such notes; match the existing convention, and if there is none, put it somewhere sensible and say where.
From TudeOrangBiasa/skills-for-agents, MIT.
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Set up fast hooks with the repo's own toolchain (oxlint/oxfmt, Biome, or Prettier), type checking, tests, and a token-size gate.
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Eliminate repeated agent mistakes at the highest level that works: architecture, types, lint, tests, docs last.
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Settle types, signatures, and module shape before code: ground, sketch twice, agree, implement, scrap when wrong.
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Explain how a subsystem works: triage complexity, fan out explorers on 2 to 4 angles for complex scopes, synthesize into fixed sections.
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Kill needless comments plus the dead code they protect, fix root causes in scope, encode real constraints as structure.
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Build a throwaway prototype to answer a design question.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- Oct 5, 2026 (25 days ago)
- Last release
- Oct 23, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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SkillBFreshness: B★ 20Claude Code +9 - 0.342score
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SkillAFreshness: A★ 3Claude Code +9 - 0.331score
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SkillAFreshness: A★ 1Claude Code +9 - 0.589score
show-me-your-work
TudeOrangBiasa
Keep a reviewable decision trail for long or unattended work: TSV log per decision, end audit, cross-model attention flags.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
arena
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Parallel design bakeoff: N candidates on one brief, cross-judge, pick a base, graft the best parts.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
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Stress-test one component against worst-case content and states on a throwaway page, then report what visibly broke.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
setup-pre-commit
TudeOrangBiasa
Set up fast hooks with the repo's own toolchain (oxlint/oxfmt, Biome, or Prettier), type checking, tests, and a token-size gate.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
interrogate
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Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/tudeorangbiasa-research (last updated 2026-10-24)