Conduct structured brainstorming for product features, designs, marketing strategies, and creative problem-solving using 30+ research-validated prompt patterns across 14 categories. Guide pre-implementation workflows by exploring context, clarifying requirements, proposing 2-3 options with trade-offs, securing approval, and documenting specs.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub jamie-bitflight/claude_skills --plugin brainstorming-skillStructured thinking methods that counteract LLM reasoning biases during problem exploration — first principles, inversion, constraint manipulation, perspective forcing, analogy search, and more, with user-gated parallel subagent exploration for deep dives
Brainstorm future features and improvements with wireframes and implementation detection
Agent-first PM toolkit with 9 specialist agents and 18 skills for solo developers and small teams
Meta-cognition: refine input through brainstorming, refine output through challenge and condensed communication mode.
Build FastMCP 3.x Python MCP servers — covers provider/transform architecture (including CodeMode, Tool Search, and server-level transforms), component versioning, session state, authorization (MultiAuth, PropelAuth, connection-pooled token verifiers), evaluation creation, Pydantic validation, async patterns, STDIO and HTTP transports, nginx reverse proxy deployment, background tasks, Prefab Apps UI, security patterns, client SDK usage, testing, deployment, and migration from FastMCP v2. TypeScript is a legacy reference only and is not updated for v3.
Read The Fucking Prompt — finds the strongest user reaction to an AI instruction-following failure in a chosen session, reconstructs the triggering assistant output, and renders a shareable terminal-style PNG.
This skill should be used when the model needs to ensure code quality through comprehensive linting and formatting. It provides automatic linting workflows for orchestrators (format → lint → resolve via concurrent agents) and sub-agents (lint touched files before task completion). Prevents claiming "production ready" code without verification. Includes linting rules knowledge base for ruff, mypy, and bandit, plus the linting-root-cause-resolver agent for systematic issue resolution.
When setting up commit message validation for a project. When project has commitlint.config.js or .commitlintrc files. When configuring CI/CD to enforce commit format. When extracting commit rules for LLM prompt generation. When debugging commit message rejection errors.
Faithful information summarization with fidelity preservation, structured output, and anti-hallucination methodology. Provides skills for file, URL, and image summarization; agents for autonomous summarization tasks; and hooks for validating agent output structure.
Interactive feature development workflow from idea to implementation (Requirements → Design → Tasks → Execute)
The Answer Computer — reasoning tools for brainstorming, planning, architecture design, and deep thinking
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claim