Claude Code thinking skills
28 portable Agent Skills for structured reasoning in Claude Code, GitHub Copilot, Codex, Cursor, and other compatible tools
Claude Code Thinking Skills is a public catalog of Agent Skills. Use it for decisions, diagnosis, systems, risk, strategy, and innovation. Each skill gives an agent a clear procedure. Use a skill when its mechanism fits the task.

Contents
Jump to why use this catalog, quick start, use a skill, skill catalog, evidence, repository layout, checks and contribution, questions, or license.
Why use this catalog
Use these skills when a problem needs a clear reasoning frame. The catalog covers diagnosis, decisions, creation, risk, execution, product, and strategy.
Read the catalog audit before making performance claims.
Quick start
Skills CLI
npx skills add tjboudreaux/cc-thinking-skills
Install all skills without prompts:
npx skills add tjboudreaux/cc-thinking-skills --all
Claude Code plugin
/plugin marketplace add tjboudreaux/cc-thinking-skills
/plugin install thinking-skills@thinking-skills-marketplace
Copy from a clone
git clone https://github.com/tjboudreaux/cc-thinking-skills.git
mkdir -p /path/to/project/.agents/skills
cp -R cc-thinking-skills/skills/* /path/to/project/.agents/skills/
Claude Code can also load the same directories from ~/.claude/skills/ or .claude/skills/.
Use a skill
Start with the router when the right frame is unclear:
Use thinking-model-router to choose the right framework for this problem.
Invoke a leaf skill when the match is clear:
Use thinking-scientific-method to localize this bug.
Use thinking-reversibility to classify this architecture decision.
Use thinking-pre-mortem to stress-test this launch plan.
Use thinking-theory-of-constraints to find the binding bottleneck.
The Claude Code plugin uses thinking-skills:thinking-model-router as the exact router ID. The router can return NONE, one skill, or up to three complementary skills.
Skill catalog
The 28 active skill IDs match the directories under skills/
Route and compose
thinking-model-router; chooseNONE, one frame, or a few complementary framesthinking-model-combination; sequence distinct models when one model leaves a blind spot
Diagnose and understand
thinking-scientific-method; rank causes and test the cheapest discriminatorthinking-five-whys-plus; find systemic causes after localizationthinking-kepner-tregoe; compare IS/IS-NOT defects and must/want optionsthinking-systems; map flows, feedback, delays, and high-impact pointsthinking-map-territory; resolve conflicts between docs and live behaviorthinking-cynefin; classify the cause-and-effect domainthinking-socratic; expose hidden requirements with direct questions
Decide and evaluate
thinking-reversibility; separate easy-to-undo choices from costly commitmentsthinking-opportunity-cost; compare a choice with the top forgone use of resourcesthinking-probabilistic; forecast with base rates, ranges, and belief updatesthinking-second-order; trace delayed effects, incentives, and feedbackthinking-steel-manning; build the strongest opposing case before decidingthinking-bounded-rationality; set a good-enough threshold and stop the searchthinking-circle-of-competence; check the evidence boundary before answeringthinking-lindy-effect; weigh durability while checking for domain change
Create and improve
thinking-first-principles; separate physics from convention and rebuild from basicsthinking-triz; resolve apparently incompatible design requirementsthinking-via-negativa; remove harmful or nonessential elements firstthinking-thought-experiment; test controlled what-if scenarios when real tests cost too muchthinking-jobs-to-be-done; understand the progress users hire a product to makethinking-effectuation; act from available means under uncertainty
Manage risk and execution
thinking-pre-mortem; turn failure paths into fixes and stop checksthinking-red-team; review authorized attack paths with reproducible findingsthinking-margin-of-safety; size buffers against error and breach costthinking-theory-of-constraints; find and manage the binding throughput constraintthinking-ooda; act while a time-pressured situation changes
Evidence
The catalog audit reports:
- 28 active skills, all manual-only
- no automatic-retain verdict
portfolio-v1with zero model calls and an unmeasured result- a provisional
thinking-scientific-methodrow at +4.0 percentage points
The +4.0-point row is below the +5-point utility margin and has evidence gaps. Treat it as directional evidence, not an accuracy claim. See the decision-ready audit and analysis/evidence.json
Repository layout
skills/ Agent Skill source
scripts/ skill validation
evals/ structural, routing, and outcome evals
analysis/ evidence registry and audit
.claude-plugin/ Claude Code metadata
Study artifacts live under evals/studies/. External datasets follow their license limits.
Checks and contribution
Validate skill structure:
node scripts/validate-skills.js
Run the local structural gate:
EVAL_RUN=local node evals/run-structural.js
Run routing evaluation with the authenticated droid CLI:
EVAL_RUN=local node evals/run-routing.js
Read the evaluation harness guide and CONTRIBUTING.md before changing the catalog.
To add a skill, create skills/thinking-{name}/SKILL.md with Agent Skills YAML front matter, a precise trigger, a non-trigger boundary, a procedure, and checks. Run validation and the relevant evaluation before submitting.
Questions
Which skill should I start with?
Use thinking-model-router when the fit is unclear. Use a leaf skill when the task already names its mechanism.
Can I use a skill without the router?
Yes. Invoke any skill directly when its trigger matches.
Do these skills guarantee better model accuracy?
No. The evidence supports structured procedures, not a guaranteed accuracy gain.
License
MIT License. See LICENSE for the full text.