Claude Code Thinking Skills is a catalogue of 28 portable skills that give coding agents structured procedures for reasoning about decisions, diagnosis, risk, strategy, and related problems. It is intended for Claude Code, GitHub Copilot, Codex, Cursor, and other tools that support Agent Skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tjboudreaux/cc-thinking-skills --skill thinking-trizgit clone --depth 1 https://github.com/tjboudreaux/cc-thinking-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tjboudreaux/cc-thinking-skills/thinking-triz)<a href="https://agentmods.dev/skills/tjboudreaux/cc-thinking-skills/thinking-triz"><img src="https://agentmods.dev/badge/skills/tjboudreaux/cc-thinking-skills/thinking-triz/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tjboudreaux/cc-thinking-skills/thinking-triz"><img src="https://agentmods.dev/badge/skills/tjboudreaux/cc-thinking-skills/thinking-triz.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.00797 |
| Opus 5 | $0.00015 | $0.00398 |
| Sonnet 5 | $0.00006 | $0.00159 |
| Haiku 4.5 | $0.00003 | $0.00080 |
Grade A, and why
thinking-triz scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TRIZ
Resolve technical design contradictions without midpoint compromise. Name the conflict, separate the opposing states, and transform the system so both benefits hold.
When to Use
- Architecture, API, or system parameters pull in opposite directions (stable vs evolving, fresh vs cached, strict vs frictionless).
- You are about to accept a trade-off because "you can't have both."
- Every candidate solution shares the same structural weakness—the conflict is in the requirements, not the options list.
When NOT to Use
- One option is simply better under stated constraints → pick it; do not manufacture a contradiction.
- A cheap measurement shows which side actually matters → measure instead of inventing a separation.
- A standard pattern already resolves it (cache-aside, CQRS, feature flags, versioning) → apply the pattern directly.
- Non-technical people/org conflicts → out of scope; separation targets system parameters.
- Ordinary prioritization or resource allocation without opposing states of the same parameter.
Procedure
- Name the contradiction in template form. Write: "We need [PARAMETER] to be [STATE_1] for [BENEFIT_1] BUT [STATE_2] for [BENEFIT_2]." If this form fails, stop—use another method.
- State the ideal final result (IFR). Describe both benefits held with minimal new machinery and no permanent midpoint sacrifice.
- Try separation before invention. Test, in order: time (different moments), space (different components/layers), condition (context, load, risk), scale (interface vs implementation, aggregate vs element). Keep the first separation that delivers both benefits without hidden compromise.
- If separation fails, apply an inventive transform. Prefer resource-light moves: segmentation, preliminary action, inversion (push/pull), intermediary, copying/replication, dynamization (flags/config), another dimension (metadata/versioning/events). Scan only principles that map to the named parameter conflict.
- Reuse existing resources first. Before adding services or stores, check data, traffic, headers, schedulers, and side effects already present that can carry the separation.
- Lock a concrete resolution and stop. Specify the design change, where each state lives, and how both benefits are preserved. Stop when a no-compromise design is stated, or when honest analysis shows only a constrained trade-off remains—then document the residual trade-off explicitly rather than forcing TRIZ theater.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 53 lines · 29 tokens per session scan A 4bdde5c7aefa
thinking-triz is a skill published in the GitHub repository tjboudreaux/cc-thinking-skills (1,300 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 797 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
ux-spec
Generates UI/UX specifications with wireframes and design system. Creates UXSPEC.md and DESIGNSYSTEM.md from PRD and Architecture specs. Use when designing app interface and creating design system.
liquid-glass
Implement Liquid Glass design using .glassEffect() API for iOS/macOS 26+. Covers SwiftUI, AppKit, UIKit, and WidgetKit. Use when creating modern glass-based UI effects.
app-icon-generator
Generates an app icon for macOS or iOS — a fast CoreGraphics placeholder and/or flat layered source art to finish in Icon Composer (the Liquid Glass / iOS 26+ standard). Produces appearance variants (light/dark/tinted) and installs into the asset catalog. Use when the user wants to create, generate, iterate, or update…
onboarding-generator
Generates value-moment-first onboarding flows for iOS/macOS apps — the default architecture races a new user to the first felt experience of the app's promised outcome, branching on whether they can experience it right now or need to plan for later. The classic paged welcome-carousel tour is an explicit fallback for…
assistive-access
Assistive Access implementation for cognitive accessibility including simplified scenes, navigation icons, runtime detection, and design principles. Use when optimizing apps for Assistive Access mode.
ui-prototyping
Explore multiple divergent UI directions for a screen as named Swift.