by tjboudreaux
28 eval-informed mental models and critical-thinking skills for Claude Code, GitHub Copilot, Codex, Cursor, and other Agent Skills-compatible tools
# Add to your Claude Code skills
git clone https://github.com/tjboudreaux/cc-thinking-skillsGuides for using ai agents skills like cc-thinking-skills.
Last scanned: 5/31/2026
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}cc-thinking-skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by tjboudreaux. 28 eval-informed mental models and critical-thinking skills for Claude Code, GitHub Copilot, Codex, Cursor, and other Agent Skills-compatible tools. It has 1,272 GitHub stars.
Yes. cc-thinking-skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/tjboudreaux/cc-thinking-skills" and add it to your Claude Code skills directory (see the Installation section above).
cc-thinking-skills is primarily written in JavaScript. It is open-source under tjboudreaux on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh cc-thinking-skills against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
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.

Jump to why use this catalog, quick start, use a skill, skill catalog, evidence, repository layout, checks and contribution, questions, or license.
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.
npx skills add tjboudreaux/cc-thinking-skills
Install all skills without prompts:
npx skills add tjboudreaux/cc-thinking-skills --all
/plugin marketplace add tjboudreaux/cc-thinking-skills
/plugin install thinking-skills@thinking-skills-marketplace
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/.
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.
The 28 active skill IDs match the directories under skills/
thinking-model-router; choose NONE, one frame, or a few complementary framesthinking-model-combination; sequence distinct models when one model leaves a blind spotthinking-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 questionsthinking-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 changethinking-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 uncertaintythinking-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 changesThe catalog audit reports:
portfolio-v1 with zero model calls and an unmeasured resultthinking-scientific-method row at +4.0 percentage pointsThe +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
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.
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.
Use thinking-model-router when the fit is unclear. Use a leaf skill when the task already names its mechanism.
Yes. Invoke any skill directly when its trigger matches.
No. The evidence supports structured procedures, not a guaranteed accuracy gain.
MIT License. See LICENSE for the full text.