ai coding checklist
A 5-gate pre-flight audit to ensure your AI agent has the context, scope, and safety boundaries needed to code successfully.
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THE AGENSI STORE
57 skills found
A 5-gate pre-flight audit to ensure your AI agent has the context, scope, and safety boundaries needed to code successfully.
Monitor and analyze real-time context window usage with visual bars and detailed token breakdowns.
Design and audit complex multi-agent workflows with rigorous ownership, evidence gates, and failure recovery policies.
Instantly diagnose any skill or prompt and get a clear, prioritized report on what’s wrong and how to fix it — across any agent.
Bridge OpenCode to the Agensi marketplace to discover and install AI agent skills via MCP.
Audit and de-conflict complex agent instruction stacks to fix inconsistent behavior and logic bloat.
Guided setup for MARM: local-first shared memory, a knowledge graph, and code indexing across Claude, Cursor, Gemini, and any MCP client
A disciplined execution framework to force your AI to complete multi-step tasks with verifiable, review-ready results.
A systematic framework to diagnose, refine, and harden existing AI agent skills based on real-world performance.
Turn erratic AI tool calls into a reliable, verified, and safe execution strategy.
Eliminate context drift and enhance depth with a multi-layered active reasoning framework for agents.
Your AI coding agent starts strong — remembers every architectural decision, every constraint, every file it touched.
Find and evaluate the best free Agensi marketplace skills for your specific development needs using Grok and MCP.
PromptShift is a minimal prompt adapter that preserves intent while improving clarity across AI models.
Establish a disciplined, issue-driven agentic operating model with automated tracking and strategic human-in-the-loop.
Master the Grok Build CLI with professional workflows, safety protocols, and structured plan-mode discipline.
Turn complex system documentation into structured, agent-accessible knowledge bases optimized for MCP and AI tools.
Reliable, health-gated autonomous operations for agents in restricted or sandboxed terminal environments.
Maintain strategic coherence across long coding sessions using Claude Code's native memory and task systems.
Battle-tested orchestration framework for running 3+ Claude Code agents in parallel. Covers task routing, denbun handoff protocol, exponential-backoff retry, rate-limit guards, structured JSON logging, and automated self-healing — patterns from real production deployments.
Diagnose and fix broken local LLM stacks, GPU issues, and stalled model downloads across Ollama, LM Studio, and more.
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