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Five rituals for README perfection: /deep-dive the codebase, /crystal-ball the roadmap, /brain-jam with Gemini, enter the /think-tank, then /pen-wielding to write.
npx claudepluginhub espalier-redoubt/claudikins-marketplace --plugin claudikins-grfpStage 4 - Collaborate with Gemini to find the perfect README angle
Stage 2 - Envision what this project COULD become
Stage 1 - Deep dive into the codebase to understand what it IS
Begin README creation workflow or check current progress and missed areas
Stage 5 - Write the complete README with all insights combined
Use when determining project tone, voice, and marketing angle after deep-dive and crystal-ball phases. Conducts brainstorming session with Gemini.
Use when analysing future opportunities after deep-dive phase. Identifies performance improvements, technical debt, security hardening, and feature gaps. Outputs roadmap candidates table.
Use when starting the README pipeline to extract technical facts from codebase. Identifies project type, tech stack, dependencies, entry points, CI configuration. Outputs Reality Report.
Use when creating or updating a README. It enforces the 5-step 'Anti-Slop' pipeline and triggers the correct sub-skill for the current phase.
Use when writing the final README after all phases complete. Synthesises outputs from deep-dive, crystal-ball, brain-jam, and think-tank. Applies Anti-Slop style guide.
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Smart README generation from project analysis
Documentation review, cleanup, and generation with AI slop detection, style learning, and human-quality writing enforcement
General-purpose utility skills for documentation, writing, and project maintenance
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.
Core planning and workflow infrastructure for the Claudikins ecosystem
Configurable MCP wrapper that consolidates your tools into just 3, using semantic search for on-demand discovery and sandboxed TypeScript execution. Ships with 7 example servers (96 tools) - reduces context consumption by 97% (48k tokens down to 1.1k).
Configurable MCP wrapper that consolidates your tools into just 3, using semantic search for on-demand discovery and sandboxed TypeScript execution. Ships with 7 example servers (96 tools) - reduces context consumption by 97% (48k tokens down to 1.1k).
Claudikins Automatic Context Manager - seamless context handoff for Claude Code
Claudikins Automatic Context Manager - seamless context handoff for Claude Code
ESLint for prose. A Claude Code plugin that treats "delve" as a syntax error.
AI-generated documentation has a smell. You know it when you read it: "This tool delves into the landscape of seamless integration..." - zero information, pure filler. I bet reading that you thought, but this sounds like AI, you're right actually, written before using the plugin.
Before:
This library provides a seamless way to delve into documentation generation, unleashing the full potential of your README workflow.
After:
This plugin generates README files. It bans 15 filler words, enforces sentence patterns that require specifics, and includes humanisation patterns to make AI text sound human.
Install via Claude Code Plugin:
# Add the Claudikins marketplace
/marketplace add aMilkStack/claudikins-marketplace
# Install the plugin
/plugin install claudikins-grfp
Then ask Claude to write a README. The plugin triggers and runs you through 5 phases.
flowchart LR
A["/deep-dive"] --> B["/crystal-ball"]
B --> C["/brain-jam"]
C --> D["/think-tank"]
D --> E["/pen-wielding"]
A -.- A1["Facts: Stack, structure, friction"]
B -.- B1["Future: Roadmap, tech debt"]
C -.- C1["Voice: Angle, tone"]
D -.- D1["Research: Patterns, badges"]
E -.- E1["Output: The README"]
Each phase produces artifacts. /deep-dive extracts codebase facts. /crystal-ball identifies what's missing. /brain-jam runs a Claude + Gemini debate to find the voice. /think-tank researches exemplar READMEs. /pen-wielding writes the final output with Anti-Slop rules enforced.
The final phase applies four governance files:
Three patterns you must vary between:
Use in: Description, Intro
| Before | After |
|---|---|
| "This library helps with JSON parsing issues." | "JSON logs are unreadable. Kinesis parses them instantly." |
Use in: Features, Performance
| Before | After |
|---|---|
| "The system is designed to be incredibly fast." | "Builds finish in under 200ms." |
Use in: Usage, Technical sections
| Before | After |
|---|---|
| "Works perfectly on all platforms." | "Uses epoll on Linux; falls back to kqueue on macOS." |
Write TO readers, not AT them.
| Weak | Strong | Why |
|---|---|---|
| "Users can optionally configure..." | "Configure your preferences in..." | Direct address over passive |
| "The system enables..." | "This helps you..." | Human over system |
| "Consider implementing..." | "Implement..." | Commands over suggestions |
| "We achieved 2.4M reach" | "We reached 2.4M people, 20% above target" | Context makes numbers meaningful |
For lightweight progress and status without images.