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Distill anyone's thinking style into a reusable agent skill

FreeFree tier
Inputs: textOutputs: text
Type
Open Source
Visit Website GitHub (40 stars)

About prompt

The Cognitive Distillation Architect is a specialized prompt template for AI agents designed to extract and package a person's or school's cognitive operating system into a reusable agent skill (SKILL.md). It focuses on capturing decision topology, mental models, and reasoning frameworks that distinguish an expert's thinking, rather than biographical trivia or role-play. The prompt guides the user through multi-source research synthesis, framework archaeology, expressive-DNA fingerprinting, and skill-contract design, with strict quality gates including directional and uncertainty testing. The output is a verifiable skill that can be loaded into agent runtimes like Claude Code, Codex, Cursor, or OpenClaw.

Key Features

Extracts cognitive operating system (mental models, decision heuristics, expressive DNA, honesty boundaries)
Multi-source research synthesis and framework archaeology
Produces a standalone SKILL.md file for agent runtimes
Includes verification tests: directional test on known questions and uncertainty test on unknown questions
Declares explicit honesty boundaries and limitations of the skill
Preserves expressive-DNA (rhythm, sentence topology, lexical preference) as structural reasoning signals
Compatible with Claude Code, Codex, Cursor, OpenClaw, or any skill-compatible harness

Pros & Cons

Pros
  • Captures unique decision topology, not just surface-level quotes or biographies
  • Produces verifiable, loadable skill files with built-in testing criteria
  • Emphasizes honesty boundaries, reducing risk of overclaiming capabilities
  • Focuses on exclusive mental models that distinguish the expert from others
  • Open-source and freely available in the awesome-prompts collection
Cons
  • Requires substantial source material about the target person or school to distill effectively
  • May not capture subconscious or tacit intuition that is difficult to articulate
  • The distilled skill is limited to the available data and may not generalize to novel domains
  • Dependent on the user's ability to perform multi-source research synthesis
  • Verification tests rely on user-defined questions, which may introduce bias

Best For

Creating personalized AI assistants that reason like a specific expert or school of thoughtReplicating decision-making frameworks of thought leaders for agent-based analysisBuilding reusable cognitive skills for team workflows in agent-centric development environmentsDocumenting and transferring reasoning methodologies from domain expertsEnabling consistent, style-guided reasoning across multiple AI agents

FAQ

What is cognitive distillation?
Cognitive distillation is the process of extracting a person's (or school's) cognitive operating system—including mental models, decision heuristics, expressive DNA, and honesty boundaries—and packaging it into a reusable agent skill. It focuses on how someone reasons, not just what they say.
How is this different from traditional role-play prompts?
Cognitive Distillation Architect explicitly avoids shallow role-play or biography. It extracts decision topology and exclusive frameworks that predict how the subject would reason about unseen problems. It also includes verification steps to ensure fidelity.
What platforms can use the generated skill?
The output SKILL.md file can be loaded into any skill-compatible agent runtime, including Claude Code, Codex, Cursor, OpenClaw, and similar harnesses that support skill definitions.
How is the skill verified?
The prompt requires the user to run a directional test (comparing the skill's reasoning to known answers) and an uncertainty test (testing on unknown questions to check for overconfidence). A skill is not considered complete until both tests pass.