zigrivers-scaffold

Analyzes Claude code repositories to extract patterns, dependencies, and architectural insights. Useful for developers conducting codebase audits and understanding project structure.

200 skills · 94 commands · 68 agents · 1 MCP server · hooks

Massive 225+ skill collection (613 Python tools, 32 agents) for Claude Code and coding assistants. Covers web development, data, automation, and agent patterns.

200 skills · 5 agents

A collection of reusable Claude commands and utilities for automating common tasks and workflows.

200 skills

Agent skills for building and managing cryptocurrency trading bots with API integration and strategy execution.

200 skills

Skill pack for Unity game development. Provides guidance and tools for building games and interactive 3D applications with the Unity engine.

200 skills

Community-curated collection of skills, agents, templates, PRDs, and prompts maintained by Claude Code Community Ireland.

132 skills · 1 agent

MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint

13 skills · 1 command · 1 agent · hooks

Agent skills for Azure SQL Developer, the Azure SQL Database engine running locally in a container. Teaches your agent to run the engine, connect, migrate, scaffold, build RAG, wire CI, and go local-to-cloud, using the real Private Preview image instead of the SQL Server image.

17 skills

REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation

1 skill · 4 agents

Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).

6 skills · 8 commands · 4 agents · hooks

Brainstorm, plan, debug, review, and compound learnings with AI agents

39 skills

Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).

19 skills