AbsolutelySkilled: Install 156 Production-Ready Skills to Make Claude Code Remember Your Conventions

AbsolutelySkilled: Install 156 Production-Ready Skills to Make Claude Code Remember Your Conventions

A new registry of structured skill modules (SKILL.md files) lets you install persistent domain expertise into Claude Code once, guiding its behavior across all future sessions.

9h ago·4 min read·19 views·via reddit_claude, gn_claude_api, hn_claude_code, reddit_claude, medium_claude
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What It Does — A Registry of Skills for Persistent Knowledge

AbsolutelySkilled is a GitHub registry containing 156 structured skill modules you can install into Claude Code. Each skill is a SKILL.md file designed to solve a core frustration: Claude Code's lack of persistent knowledge between sessions. Instead of re-explaining your project's conventions, architecture, or preferred patterns every time you start a new chat or project, you install a skill once. When triggered, Claude Code loads the structured knowledge from the skill file, guiding its behavior consistently.

These aren't just simple prompts. Each skill includes:

  • Trigger Conditions: When and how the skill should activate.
  • Reference Files: Supporting documentation or examples.
  • Evals: 10-15 test cases to verify the skill works correctly.
  • Anti-patterns: Explicit guidance on what not to do.

The registry covers a wide range of domains crucial for developers, including system design, Docker, Kubernetes, React, Next.js, PostgreSQL, security review, technical writing, and SEO.

How It Works — Structured Skills as SKILL.md Files

The system works by extending the concept of a CLAUDE.md file—a project-level guide for Claude Code—into reusable, installable modules. You install skills via a command-line tool (npx skills). Once installed, these SKILL.md files sit in your project or a global directory. When Claude Code encounters a task that matches a skill's trigger conditions, it loads the relevant SKILL.md file into its context, applying the pre-defined expertise and rules.

This creates a form of persistent, cross-session memory. The knowledge isn't stored in a model's weights but in accessible, version-controlled files that Claude Code can reference on-demand.

Two Standout Skills: Superhuman and Second Brain

The creator highlights two foundational skills that reimagine the development workflow for AI constraints:

1. Superhuman
This skill rearchitects the entire development lifecycle into a dependency-aware, parallelized process. It doesn't just write code; it manages complex tasks like a project manager. Its 7-phase workflow is:

  1. INTAKE: Understand the task.
  2. DECOMPOSE: Break it into a dependency graph (DAG) of sub-tasks.
  3. DISCOVER: Gather necessary context and files.
  4. PLAN: Create an execution strategy.
  5. EXECUTE: Run independent tasks in parallel using sub-agents.
  6. VERIFY: Enforce Test-Driven Development (TDD) at every step with verification loops.
  7. CONVERGE: Integrate results.

It maintains a persistent board.md file that survives across sessions and context resets, acting as a project dashboard.

2. Second Brain
This skill creates a persistent, tag-indexed memory system for your agent. It writes learnings to a ~/.memory/ directory that survives across all projects and sessions. To maintain context efficiency, it enforces a 100-line ceiling per memory file and uses wiki-style links for graph navigation. After complex tasks, it auto-proposes new entries for this memory.

Try It Now — Installation and First Steps

Getting started is straightforward using npm/npx:

  1. Install a single skill (e.g., the superhuman workflow):
    npx skills add AbsolutelySkilled/AbsolutelySkilled --skill superhuman
    
  2. Install all 156 skills at once:
    npx skills add AbsolutelySkilled/AbsolutelySkilled -g
    

After installation, the skills will be available in your configured skills directory. When you start Claude Code in a project, it will begin to recognize and utilize the installed skills based on their triggers. Start with a focused skill like react-best-practices or docker-compose for your current work, then explore the superhuman skill for larger, multi-file refactors or feature builds.

Why This Changes Your Workflow

This registry directly tackles the "amnesiac agent" problem. By externalizing expertise into installable, version-controlled skill files, you stop losing time on repetitive explanations. Your team can share a core set of skills, ensuring consistency. The superhuman skill, in particular, introduces a structured, parallelized approach to development that leverages Claude Code's ability to manage multiple threads of thought, potentially cutting down the time for large tasks significantly.

AI Analysis

Claude Code users should immediately view this as a system for creating and sharing persistent team knowledge. Instead of pasting the same architecture notes into every new chat, package them as a skill. Start by installing the `superhuman` skill for your next medium-complexity task (like adding a new API endpoint). Observe how it decomposes the work and manages the `board.md`. This forces a more systematic approach. Next, audit your last week of Claude Code sessions. What conventions did you explain more than once? Package those as your own local `SKILL.md` file using the registry's format as a template. This could be your team's ESLint rules, API response format, or error handling pattern. The goal is to shift from ad-hoc prompting to a library of reusable expertise. Finally, integrate the `second-brain` skill. Let it run for a few days as you work. Periodically review the `~/.memory/` directory it creates. This becomes a searchable knowledge base of lessons learned, which you can then refine into new, more precise skills. This turns Claude Code from a tool that forgets into one that accumulates wisdom.
Original sourcereddit.com

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