Search

PythonReactSEOPDF

Coowoolf AI Skills

GitHub ↗

Browse published AI skills maintained by Coowoolf. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

74

Repository stars across indexed skills

148

Repository forks

0

Average repository stars per indexed skill

2

Repository stars may repeat across skills from the same repository.

74 skills

Browse skills

GitHub

delicate-conversation-scripts

Coowoolf

Use when delivering difficult feedback (performance issues, firing, promotion denial), when managers avoid necessary conversations due to fear, or when needing structured scripts for high-stakes communication

GitHub

prfaq-product-validation

Coowoolf

Write a future-dated Press Release and FAQ before any coding begins to ensure the product solves a real customer problem. Work backwards from the customer, not forward from capabilities. Amazon's foundational p...

GitHub

give-away-your-legos

Coowoolf

In scaling companies, once you master a role you must hand it off and move to a bigger, messier challenge. Holding on buries you; giving away allows you to tackle bigger challenges.

GitHub

single-threaded-leadership-model

Coowoolf

An organizational model where a single leader is fully accountable for a specific goal and controls all cross-functional resources needed, minimizing external dependencies. Amazon's alternative to matrixed orga...

GitHub

four-forces-of-progress

Coowoolf

A behavioral model defining the opposing forces in switching decisions—Push, Pull, Anxiety, Habit. Change happens only when (Push + Pull) > (Anxiety + Habit). Core to Jobs-to-be-Done theory.

GitHub

four-bbs-roadmap

Coowoolf

Use during quarterly or annual roadmap planning, when Engineering wants tech debt work while PMs want features and Leadership wants moonshots, to force explicit resource allocation

GitHub

curiosity-loops

Coowoolf

Use when facing a significant decision (career pivot, product direction, technical choice) and feeling stuck or indecisive, when seeking contextual advice rather than generic recommendations

GitHub

unstuck-scaling

Coowoolf

Use when AI agents frequently hit dead ends, when reliability is the main constraint on scaling utility, or when general model improvements don't solve specific blockers

GitHub

selective-micromanagement-matrix

Coowoolf

Leadership is a dynamic range. When confidence in team direction is low, temporary tactical micromanagement is the correct move—not autonomy. Teach the framework, then pull back.

GitHub

ai-teammate-model

Coowoolf

Use when designing AI agent products, defining roadmaps for agentic workflows, or evaluating how to evolve AI from passive tool to proactive partner in software development

GitHub

causal-interview-protocol

Coowoolf

A JTBD interviewing technique to reconstruct the customer's timeline and uncover causal mechanisms behind a purchase. Resembles criminal investigation—penetrate surface-level answers to find the struggling mome...

GitHub

house-operational-architecture

Coowoolf

A three-part structural framework for building a scalable company—Foundation (Founding Documents), Posts & Beams (Supporting Structures), and Mechanicals (Operating Cadence). Use when moving from PMF to scaling...

GitHub

bar-raiser-hiring-mechanism

Coowoolf

A quality control mechanism with a designated interviewer from outside the hiring chain who has veto power to ensure candidates raise the bar (better than 50% of current employees in role). Amazon's talent dens...

GitHub

bar-test-positioning

Coowoolf

Use after drafting positioning statements, before writing website copy, or when marketing language sounds corporate rather than human

GitHub

three-layer-agent-stack

Coowoolf

Use when building AI-powered products or agents, when raw model intelligence isn't enough to solve user problems, or when designing the architecture for agentic workflows

GitHub

fear-and-anger-decision-filter

Coowoolf

Fear creates exaggerated negative predictions. When gripped by fear, bet that the opposite will happen if you act against it, then take action. Use for high-stakes decisions that feel emotionally dangerous.

GitHub

long-horizon-holdout

Coowoolf

Use when running experiments on platforms where user value compounds over time, when growth teams claim credit for revenue that would have happened anyway, or when short-term wins don't translate to long-term v...

GitHub

in-the-details-review-loop

Coowoolf

A leadership cadence where the CEO/Leader reviews actual work (designs, prototypes, copy) weekly rather than just metrics or status slides. Use when feeling product quality is slipping or team is moving too slo...

GitHub

add-a-zero-heuristic

Coowoolf

A goal-setting mental model where leaders increase the target by 10x to force teams to abandon current processes and use first-principles thinking. Use during annual planning when teams default to safe, increme...

GitHub

absolute-volume-framework

Coowoolf

Use in power-law businesses like platforms or VC, when conversion rate optimization shrinks your funnel, or when efficiency metrics block potential outlier winners

GitHub

energy-audit-and-zone-of-genius

Coowoolf

Review your calendar, color-code activities by energy impact (Green/Red), and systematically delegate draining tasks to maximize time in your Zone of Genius.

GitHub

hierarchy-of-marketplaces

Coowoolf

A roadmap for marketplace domination. Level 1: Focus on a "thimble" to maximize Happy GMV. Level 2: Tip the market via growth loops. Level 3: Dominate to capture economic rents. Not all GMV is equal.

GitHub

chatter-driven-development

Coowoolf

Use when designing futuristic agentic workflows, when wanting AI to proactively act on team communications, or when eliminating the bottleneck of formal specifications

GitHub

controllable-inputs-framework

Coowoolf

Focus on Input Metrics (selection, price, speed) rather than Output Metrics (revenue, stock price). Inputs are controllable and causal; outputs are lagging. Amazon's flywheel philosophy.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.