prompt-optimizer
Transforms vague or poorly structured prompts into optimized, high-performance instructions using proven prompt engineering principles for better AI model execution.
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529 skills found
Transforms vague or poorly structured prompts into optimized, high-performance instructions using proven prompt engineering principles for better AI model execution.
Enables cross-session context persistence for Claude Code, managing history, project decisions, and workflow patterns to ensure seamless task continuation.
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
Intelligently migrate existing brownfield projects to the AgenticDev structure using AI-powered analysis to reorganize documentation, generate rich frontmatter, and preserve git history.
Manually triggers a Hipocampus memory flush to persist current session context to raw logs and initiate the compaction tree process for long-term agent memory maintenance.
Converts complex bash commands prone to parse errors into reliable temporary scripts for robust execution.
Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.
Generate professional equity research snapshots using consensus estimates, company fundamentals, historical pricing, and macroeconomic indicators to build investment theses.
Expert automated code review for Go CLI applications, focusing on Cobra/urfave patterns, security, performance, idiomatic Go, and robust error handling.
Shared memory and collaboration layer for AI coding agents to track actions, manage sessions, detect conflicts, and preserve project context across tools.
Automated detection of IDOR vulnerabilities using a three-phase subagent workflow to verify authorization and ownership checks on sensitive endpoints.
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.