# Add to your Claude Code skills
git clone https://github.com/FlineDev/ContextKit
README.md
[!IMPORTANT]
ContextKit is no longer actively maintained. Its planning features have evolved into π PlanKit β a lighter, plugin-based system that integrates directly with Claude Code's plugin marketplace. For quick plans without a full planning system, use Claude Code's built-in Plan mode (/plan).
The real problem: AI assistants are reactive, not proactive. You have to spoon-feed them every single step: "Now create the model", "Now add the service", "Don't forget tests", "Now wire up the UI". They wait for instructions instead of understanding the bigger picture and driving the process forward.
The frustration: You're managing the AI instead of collaborating with it. You spend your time figuring out what to ask for next, breaking down work into AI-digestible chunks, and constantly steering the conversation. It's like having a junior developer who needs step-by-step instructions for everything.
The solution: ContextKit gives AI the planning intelligence to understand your project, suggest the right technical approach, break down features systematically, and guide you through proven development phases. The AI becomes a proactive partner that knows what comes next and why.
And you stay in control: ContextKit enables AI autonomy at the right moments while keeping you in strategic control. You review and approve the spec, tech decisions, and implementation plan at key checkpoints. The AI then executes with specialized quality agents (accessibility, localization, code cleanup) working autonomously within your approved framework.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The key insight: By helping AI understand your intent clearly upfront, it can work longer and more effectively without constant corrections. You spend time on strategic decisions, not fixing misunderstood implementations.
# Start Claude Code
claude
# Initialize ContextKit (auto-detects your project type)
/ctxk:proj:init
3. Choose your workflow
For major features (multi-file changes, new architecture, research needed):
# Full systematic workflow with detailed planning
/ctxk:plan:1-spec # Business requirements
/ctxk:plan:2-research-tech # Technical architecture
/ctxk:plan:3-steps # Implementation breakdown
/ctxk:impl:start-working # Start development
For smaller tasks (bug fixes, improvements, refactoring):
# Quick workflow with interactive validation
/ctxk:plan:quick # All-in-one: understanding β plan β work
ContextKit creates structured feature directories, maintains context between sessions, and guides you through quality checkpoints that prevent common AI development pitfalls.
[!NOTE]
Early Development: ContextKit is actively evolving with iterative improvements. While production-ready (I use it daily for all my projects), expect some rough edges as commands and agents are refined. ContextKit updates itself globally when you start new chats, and the /ctxk:proj:migrate command makes updating your project files easy - keep sending feedback to help iron out issues faster.
βοΈ Optimized Configuration
ContextKit configures Claude Code with optimized settings for systematic development:
Sonnet Model Default: Sufficient quality with proper guidance while reducing 5h-limit risk during complex planning phases
Custom Statusline: Real-time monitoring so you have full transparency about the limits:
Progress bar colors: Light Gray (<50%), Yellow (50-80%), Red (>80%) for visual context awareness
[!TIP]
Disable Auto-Compact for Better Control
Type /config in Claude and set "Auto-compact" to false. Auto-compact triggers at ~85% context usage, often interrupting you when nearly finished with a task and plenty of relevant context available.
Better workflow: Start fresh chats when needed and resume with /ctxk:impl:start-working (within feature branches after planning) β ContextKit's structured approach makes this seamless. Manual /compact loses unpredictable amounts of context, while fresh starts preserve your systematic progress.
ποΈ How it works
ContextKit implements a proven 4-phase methodology that prevents the chaos of unstructured AI development:
Phase 1: Business Case (/ctxk:plan:1-spec)
Define what you're building and why, without technical details:
