Agent skill · AI & Agents

swing-trace

Exposes Claude's reasoning chain as an auditable, decomposable artifact. Quick mode (default) gives assumption inventory + weakest-link in 2 stages. Full mode (--full) adds decision branching, confidence decomposition, and falsification conditions. Triggers on "왜 그렇게 생각해", "reasoning", "근거", "show your work", "어떻게 그 결론이", "trace", "판단 근거", "why do you think that".

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill swing-trace --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 16 KB
Bundled scripts: none
Allowed tools: ReadGrepGlobBashAgent
Path: skills/ai-llm/swing-trace/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Reasoning Tracer Anti-black-box engine that makes reasoning chains visible, auditable, and decomposable. > Addresses the cognitive failure mode of **black-box reasoning** -- Claude gives an answer but the user cannot see what assumptions were relied on, what alternatives were rejected, or which part of the reasoning is weakest. ## Rules (Absolute) 1. **Never present a single-path narrative.** Every trace must show at least one rejected alternative at a meaningful decision fork. "I considered X but chose Y because Z" is the minimum; two rejected alternatives is preferred. 2. **Confidence decomposition requires 3+ sub-components.** Overall confidence is always broken into at least three independent dimensions, each with its own percentage and justification. 3. **Every assumption gets rated.** Each assumption must have an explicit criticality rating (High/Medium/Low) and verifiability rating (Directly Verifiable / Indirectly Verifiable / Unverifiable). No unrated assumptions. 4. **Weakest Link is MANDATORY.** Never skip it. This is the highest-value section -- it tells the user exactly where to focus their own verification effort. 5. **No confidence theater.** Do not assign high con

What's inside
Steps it walks through
  1. Rules (Absolute)
  2. Mode Selection
  3. Quick Mode (Default)
  4. Full Mode (--full)
  5. Process
  6. Stage 1: Claim Isolation
  7. Stage 2: Assumption Inventory
  8. Stage 3: Decision Tree with Branch Justifications
  9. Stage 4: Confidence Decomposition
  10. Stage 5: Weakest Link & Alternative Conclusion
  11. Output Format
  12. Quality Calibration
  13. BAD Example (Do NOT produce this)
  14. GOOD Example (Target this quality)
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the swing-trace skill do?

Exposes Claude's reasoning chain as an auditable, decomposable artifact. Quick mode (default) gives assumption inventory + weakest-link in 2 stages. Full mode (--full) adds decision branching, confidence decomposition, and falsification conditions. Triggers on "왜 그렇게 생각해", "reasoning", "근거", "show your work", "어떻게 그 결론이", "trace", "판단 근거", "why do you think that".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill swing-trace --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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