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SKILL verified MIT Self-run

Systematic Debugging

skill-motao123-dev-workflow-kit-systematic-debugging · by motao123

Use when a bug, flaky test, or runtime failure does not have an obvious root cause. This skill emphasizes reproduction, narrowing the search space, hypothesis testing, and evidence before proposing a fix.

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Install

$ agentstack add skill-motao123-dev-workflow-kit-systematic-debugging

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Systematic Debugging

Use this skill when the problem is not yet understood well enough to fix safely.

Trigger Conditions

Use this skill when:

  • a bug is intermittent or environment-specific
  • a test fails without a clear reason
  • symptoms are broad and the root cause is unknown
  • multiple possible failure layers exist
  • the user wants reproduction and diagnosis before implementation

Do not use this skill for obvious typo-level fixes or when the exact code change is already known.

Workflow

  1. Capture the observed failure and current evidence.
  2. Reproduce the issue or narrow why it cannot be reproduced.
  3. Reduce the search space by layer, component, or recent change.
  4. Form hypotheses and test them one by one.
  5. Separate symptoms from likely root cause.
  6. Recommend the smallest safe fix path.

Output

For non-trivial work, provide:

  • observed behavior
  • reproduction status
  • narrowed scope
  • hypotheses tested
  • likely root cause
  • recommended next step

Coordination

After diagnosis:

  • move from diagnosis into the active implementation workflow for the actual fix
  • use fix-ci if the main failure surface is pipeline-only
  • use browser-verification when the bug is UI-visible

Invocation Examples

  • "Use systematic-debugging to reproduce and narrow this flaky test failure."
  • "Use systematic-debugging before changing code; I want the root cause first."
  • "Use systematic-debugging to trace whether this is frontend, API, or database breakage."

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.