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By primeline-ai
5 production-grade workflow skills for Claude Code. Debugging, delegation, planning, code review, and configuration architecture.
npx claudepluginhub primeline-ai/primeline-skillsUse when reviewing pull requests, reviewing your own code before committing, or when asked to review code changes. Provides structured analysis with severity categorization, security focus, and optional worktree isolation for safe PR review.
Use when creating, restructuring, or scaling a CLAUDE.md file. Provides tiered loading patterns, organization templates, and token measurement guidance. Prevents the "unmanageable blob" problem.
Use when encountering any bug, test failure, or unexpected behavior. Provides a structured 4-step cycle and ACH methodology for complex bugs. Replaces random guessing with evidence-based investigation.
Use when facing any non-trivial task to decide whether to handle it yourself or delegate to a subagent. Provides score-based routing, model selection, and structured prompt templates for effective delegation.
Use when you have a multi-step task, before touching code. Creates bite-sized implementation plans with TDD emphasis, then executes them in batches with review checkpoints. Prevents the "just start coding" trap.
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Works with Claude Code, Kiro, Clawd CLI, Gemini CLI, Cursor, Continue, Hermes, and 17+ AI coding assistants. Now with Arabic, German, Spanish, and Chinese (Simplified & Traditional) support.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
Claude Code skills for Godot 4.x game development - GDScript patterns, interactive MCP workflows, scene design, and shaders
Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,443 supported skills.
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Self-evolving Claude Code system that learns from corrections, manages context, and improves every session
Autonomous, personalized research loops for Claude Code. Set a topic, walk away, come back to a quality-gated report adapted to your projects.
A complete session management system for Claude Code. Memory persistence, session handoffs, context awareness, and delegation basics - extracted from a 650-node production AI system.

5 production-grade workflow skills for Claude Code.
Debugging, delegation, planning, code review, and configuration architecture - written from production experience and informed by the best open-source patterns.
Claude Code is powerful. But without workflow discipline:
5 skills that install in 30 seconds and immediately improve how you work:
| Skill | What Changes |
|---|---|
| Debugging | 4-phase cycle replaces random guessing. ACH method for complex bugs. |
| Delegation | Score-based routing to the right agent at the right model tier. |
| Plan & Execute | TDD plans that survive reality, with review gates between batches. |
| Code Review | Structured PR review with severity categorization and security focus. |
| Config Architect | Tiered CLAUDE.md that scales without wasting tokens. |
Each skill includes reference files with templates, checklists, and examples.
git clone https://github.com/primeline-ai/primeline-skills ~/.claude-plugins/primeline-skills
Add to your Claude Code settings (~/.claude/settings.json):
{
"pluginDirectories": [
"~/.claude-plugins/primeline-skills"
]
}
Restart Claude Code. All 5 skills are now available automatically.
If you only want one skill, copy its folder into your project's .claude/skills/ directory:
# Example: just the debugging skill
git clone https://github.com/primeline-ai/primeline-skills /tmp/primeline-skills
cp -r /tmp/primeline-skills/skills/debugging .claude/skills/
Start Claude Code and ask it to debug something, plan a feature, or review code. It should announce "Using [skill-name]..." when the skill activates.
Every skill follows the same structure:
skills/[name]/
SKILL.md # The skill itself (Quick Start + Full System)
references/
[template].md # Ready-to-use templates
[guide].md # Deep-dive reference material
| Skill | References |
|---|---|
| Debugging | Evidence collection template, anti-patterns guide |
| Delegation | 5 prompt templates, model selection matrix |
| Plan & Execute | Plan template (full + minimal), review checklist |
| Code Review | Severity classification guide, security checklist |
| Config Architect | Copy-paste CLAUDE.md starter template, token measurement guide |
These skills are part of a progression. Each tier works independently - no hard dependencies.
You're here You want this Install this
----------- ------------- ------------
Raw Claude Code -> Session memory -> Starter System (free)
-> Workflow skills -> + Skills Bundle (free) <- you are here
-> Deep planning -> + UPF (free)
-> Deep analysis -> + Quantum Lens (free)
-> AI-powered system -> + Course (paid)
| Component | What It Does | Link |
|---|---|---|
| Starter System | Session memory, handoffs, context awareness | GitHub |
| Skills Bundle | 5 workflow skills (this repo) | You're reading it |
| UPF | Universal Planning Framework with 4-stage deep planning | GitHub |
| Quantum Lens | Multi-perspective analysis + solution engineering (7 cognitive lenses) | GitHub |
| Course | Kairn + Synapse: AI-powered memory and knowledge graphs | primeline.cc |
Skills reference each other with soft "if available" language:
/remember for logging known failures (Starter System)If the referenced component isn't installed, nothing breaks. The tip is just skipped.
Each skill documents a "With Kairn" section explaining what becomes possible with AI-powered memory: