diagnose
Diagnosis loop for hard bugs and performance regressions.
Skill by TudeOrangBiasa
Chalk Labs
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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-diagnose
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
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
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/diagnose
What's inside
- Skill name
diagnose- Description
- Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
- License
- MIT
- Instructions
- 135 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- CREDITS.md
- SKILL.md
- openai.yaml · agents/
- hitl-loop.template.sh · scripts/
More from TudeOrangBiasa/skills-for-agents
- 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
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 - 0.587score
arena
TudeOrangBiasa
Parallel design bakeoff: N candidates on one brief, cross-judge, pick a base, graft the best parts.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
break
TudeOrangBiasa
Stress-test one component against worst-case content and states on a throwaway page, then report what visibly broke.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
interrogate
TudeOrangBiasa
Adversarial multi-model review with rubric and bucketed verdict.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
correct
TudeOrangBiasa
Eliminate repeated agent mistakes at the highest level that works: architecture, types, lint, tests, docs last.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
architect
TudeOrangBiasa
Settle types, signatures, and module shape before code: ground, sketch twice, agree, implement, scrap when wrong.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
how
TudeOrangBiasa
Explain how a subsystem works: triage complexity, fan out explorers on 2 to 4 angles for complex scopes, synthesize into fixed sections.
SkillAFreshness: A★ 1Claude Code +9 - 0.579score
no-comments
TudeOrangBiasa
Kill needless comments plus the dead code they protect, fix root causes in scope, encode real constraints as structure.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
prototype
TudeOrangBiasa
Build a throwaway prototype to answer a design question.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
codebase-design
TudeOrangBiasa
Shared vocabulary for designing deep modules.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
domain-modeling
TudeOrangBiasa
Build and sharpen a project's domain model.
SkillAFreshness: A★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- Oct 5, 2026 (25 days ago)
- Last release
- Oct 23, 2026 (8 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from TudeOrangBiasa
- 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
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 - 0.587score
arena
TudeOrangBiasa
Parallel design bakeoff: N candidates on one brief, cross-judge, pick a base, graft the best parts.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
break
TudeOrangBiasa
Stress-test one component against worst-case content and states on a throwaway page, then report what visibly broke.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
interrogate
TudeOrangBiasa
Adversarial multi-model review with rubric and bucketed verdict.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
how
TudeOrangBiasa
Explain how a subsystem works: triage complexity, fan out explorers on 2 to 4 angles for complex scopes, synthesize into fixed sections.
SkillAFreshness: A★ 1Claude Code +9
Done for you
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Cite this page
diagnose skill. Agent Mart. https://agentmart.dev/skills/tudeorangbiasa-diagnose (last updated 2026-10-24)