Firstprinciples thinking

v1.1.0

Think from first principles instead of analogy. Break problems into fundamental truths, challenge assumptions, and rebuild better solutions from scratch.

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for agisearch/first.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Firstprinciples thinking" (agisearch/first) from ClawHub.
Skill page: https://clawhub.ai/agisearch/first
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

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openclaw skills install first

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npx clawhub@latest install first
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Purpose & Capability
The name/description (first-principles reasoning) align with the provided Python scripts: reasoning heuristics, case creation, scoring, listing, exporting, and local pattern promotion. The files implement the declared functionality and there are no unrelated dependencies or unexplained external-service credentials.
Instruction Scope
The SKILL.md is scoped to reasoning tasks and does not instruct any network calls or access to unrelated system paths. However, the included scripts persist data (cases, patterns, exports) to disk; SKILL.md calls this a 'local-first' skill but does not explicitly enumerate the storage behavior (see storage path below). The skill does not read other user config or secrets.
Install Mechanism
There is no install spec or remote download. All code is packaged with the skill; nothing will be pulled from external URLs during install.
Credentials
The skill requests no environment variables or credentials. Its only privileged action is writing files under the user's home directory (no access to system-level credentials or unrelated service tokens).
Persistence & Privilege
The skill creates and updates files under ~/.openclaw/workspace/memory/firstprinciples (cases.json, patterns.md, case_index.md, exports). always is false and autonomous invocation is allowed (platform default). Persisting user-provided problem text locally is expected behavior but is important to note for sensitive data.
Assessment
This skill appears coherent and self-contained. Before enabling: (1) be aware it will create and persist data under ~/.openclaw/workspace/memory/firstprinciples (cases.json, patterns.md, case_index.md, and an exports folder); do not submit sensitive secrets or personally identifying content as problem text if you don't want it stored. (2) If desired, inspect the packaged Python files (scripts/lib/storage.py and scripts/lib/reasoning.py) to confirm behavior or change the STORAGE_DIR path. (3) Because it can be invoked by the agent, consider whether you want the agent to run it autonomously; the skill itself does not perform network I/O or request credentials.

Like a lobster shell, security has layers — review code before you run it.

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271downloads
0stars
2versions
Updated 1mo ago
v1.1.0
MIT-0

Firstprinciples thinking

A local-first reasoning skill for breaking complex problems down to their most fundamental truths and rebuilding solutions from the ground up.

Use this when the user:

  • is stuck in conventional wisdom
  • wants original thinking instead of recycled advice
  • needs to separate facts from assumptions
  • wants to redesign a strategy, product, business model, or decision from scratch
  • asks whether something is truly necessary, optimal, or possible

This skill should:

  1. Clarify the real objective.
  2. Surface explicit and hidden assumptions.
  3. Separate facts from analogies, conventions, and defaults.
  4. Break the problem into irreducible components.
  5. Identify real constraints, variables, and tradeoffs.
  6. Reconstruct a better solution from the ground up.
  7. Deliver a practical answer with clear next actions.

Output structure

When useful, organize the answer as:

  • Goal
  • Assumptions
  • What is actually true
  • Irreducible components
  • Constraints and tradeoffs
  • Rebuilt solution
  • Best next action

Principles

  • Do not treat convention as truth.
  • Do not treat common practice as proof.
  • Do not treat analogy as understanding.
  • Start from what must be true.
  • Rebuild toward something usable.
  • Stay grounded in the user's real goal.

Success standard

A strong answer should make the user feel:

  • "Now I understand the real problem."
  • "These assumptions were weaker than I thought."
  • "This solution is more fundamental and more original."
  • "I can actually act on this."

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