thinking-cynefin

thinking-cynefin is a skill for Claude Code from tjboudreaux/cc-thinking-skills. It costs 24 tokens per session (603 once invoked), scanned A, original, MIT.

A method for choosing how to approach an unclear problem by classifying how cause and effect work in it.

In plain words
What is it for?
Use it when a problem is novel, mixed, or repeatedly resisting the current approach. It helps decide whether to follow a runbook, analyze causes, test safe changes, or stabilize first.
Why use it?
It helps avoid applying a fixed procedure to a problem that instead needs expert analysis, small experiments, or immediate stabilization.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the cc-thinking-skills plugin — 28 skills shipped together

Good fit Use it when a problem is novel, mixed, or repeatedly resisting the current approach. It helps decide whether to follow a runbook, analyze causes, test safe changes, or stabilize first.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tjboudreaux/cc-thinking-skills/thinking-cynefin
About the project

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.

tjboudreaux/cc-thinking-skills · 1,300 stars · on GitHub

Install

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.

Any agent
npx skills add tjboudreaux/cc-thinking-skills --skill thinking-cynefin
Clone the repo
git clone --depth 1 https://github.com/tjboudreaux/cc-thinking-skills

Made for: Claude Code.

Or install cc-thinking-skills, the plugin that ships this one along with the rest of its 28 skills.

Wrote 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.

agentmods badge for thinking-cynefin

README.md
[![agentmods](https://agentmods.dev/badge/skills/tjboudreaux/cc-thinking-skills/thinking-cynefin/github.svg)](https://agentmods.dev/skills/tjboudreaux/cc-thinking-skills/thinking-cynefin)
Your own site
<a href="https://agentmods.dev/skills/tjboudreaux/cc-thinking-skills/thinking-cynefin"><img src="https://agentmods.dev/badge/skills/tjboudreaux/cc-thinking-skills/thinking-cynefin/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.

agentmods 80×15 button for thinking-cynefin

Your own site · 80×15
<a href="https://agentmods.dev/skills/tjboudreaux/cc-thinking-skills/thinking-cynefin"><img src="https://agentmods.dev/badge/skills/tjboudreaux/cc-thinking-skills/thinking-cynefin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 603 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 12 Mar 2026
  • Snyk pass 12 Mar 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.00603
Opus 5 $0.00012 $0.00302
Sonnet 5 $0.00005 $0.00121
Haiku 4.5 $0.00002 $0.00060

Measured 12d ago against content hash 65ffbfeadf13, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

thinking-cynefin 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 12d 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.

skills/thinking-cynefin/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cynefin Classification

Classify by cause-effect, then use only the matching response mode. Wrong-domain method is the failure mode.

When to Use

  • Unsure whether to run a playbook, analyze, probe, or stabilize.
  • A method keeps failing and domain mismatch is plausible.
  • A novel or mixed problem needs approach selection before solution work.

When NOT to Use

  • Domain and method are already agreed—execute.
  • Task is finding a specific cause, not choosing an approach.
  • Classification done; switch to the domain method—do not re-label endlessly.
  • Pure mechanical edits with no approach uncertainty.

Procedure

  1. State the unit. Name the decision, incident, or subsystem; if mixed, list separable parts.
  2. Probe cause-effect. Is the link obvious, expert-analyzable, retrospective only, or imperceptible in turbulence? Check predictability, urgency, and probe safety.
  3. Assign one domain per unit:
    • Clear — obvious → Sense → Categorize → Respond with a runbook.
    • Complicated — expert-analyzable → Sense → Analyze → Respond; several valid answers.
    • Complex — emergent → Probe → Sense → Respond with safe-to-fail probes; amplify/dampen signals.
    • Chaotic — no safe sensing time → Act → Sense → Respond; stabilize first.
    • Disorder — unknown → split and classify each part.
  4. Mismatch check. Reject Clear if its runbook fails; Complicated if analysis cannot predict; Complex if probing is unsafe; Chaotic once safe probing becomes possible.
  5. Commit and stop. Output domain + first actions. Re-classify only on evidence of domain shift.

Stop when every unit has one domain, first actions, and a falsifier—or disorder is decomposed.

Output

unit: <decision/incident/part>
domain: clear | complicated | complex | chaotic | disorder
evidence: <cause-effect basis>
response_mode: <Sense-Categorize-Respond | Sense-Analyze-Respond | Probe-Sense-Respond | Act-Sense-Respond | decompose>
first_actions: <1-3 concrete steps>
falsifier: <what forces reclassification>
parts: <only if disorder>

Read the full file on GitHub · 56 lines

Changes

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.

  1. 12d ago First seen · 56 lines · 24 tokens per session scan A 65ffbfeadf13

Subscribe to this mod's changes

thinking-cynefin is a skill published in the GitHub repository tjboudreaux/cc-thinking-skills (1,300 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 603 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.

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