Discover available prompt engineering techniques with acceptance statistics to enhance AI interactions through optimized method selection.
MIT
305,560 tools. Last updated 2026-07-23 07:10
"Techniques for improving prompt effectiveness" matching MCP tools:
- Transform prompts using engineering best practices to improve clarity and effectiveness for AI assistants.MIT
- Identifies gaps across all subsystems, checking for missed detections, stale goals, quality regression, expired predictions, prompt health, and rule effectiveness.MIT
- Analyze a system prompt for context engineering issues and get top findings ranked by severity. Use for reviewing, improving, or debugging AI agent prompts.MIT
- Validate workflow structure by checking DAG cycles, dependency references, and model ID format without LLM calls to ensure proper configuration before execution.MIT
- Retrieve pending security findings from the Self-Improving Engine queue. View severity, detector type, fix class, and remediation for each issue flagged for human approval.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceOptimizes prompts using meta-prompting techniques through a two-turn approach that first provides optimization guidelines and then refines the prompt for enhanced quality and effectiveness.Last updated144MIT
- Alicense-qualityDmaintenanceProvides Claude with persistent memory and learning capabilities through 10 automatic agents that capture decisions, errors, solutions, and patterns across conversations. Features an anti-compaction system to prevent context loss and enables infinite conversation continuity.Last updated12MIT
Matching MCP Connectors
1,177 free agentic trading prompts for Claude and Robinhood MCP.
Cloudflare Workers MCP server: ai-prompt-optimizer
- Initiate a Self-Improving Engine scan to detect and rank vulnerabilities without applying fixes, or apply safe auto-fixes and queue others for approval.MIT
- Measure the effectiveness of a defense rule by scoring its block rate versus false positives on a 0-1 scale.MIT
- Reduce vertices in LineString or Polygon geometry to simplify shapes and decrease file size without losing essential form. Ideal for improving map rendering performance.MIT
- Retrieve usage statistics for chat prompts, with optional date filtering to track prompt usage over time.MIT
- Compare a trader's 30-day performance to all-time results: PnL, trade count, win rate, and trend direction to determine if they are improving or cooling off.MIT
- Retrieve a full malware analysis overview for a SHA256 hash, including MITRE ATT&CK techniques, network indicators, processes, and extracted files from Hybrid Analysis.MIT
- Retrieve a complete system prompt for a persona, including constitution and UVC qualities. Specify a persona ID to get its tailored prompt.MIT
- Enrich IPs and domains with Shodan, Censys, WHOIS, reverse IP, Wayback Machine, and VirusTotal data. Auto-detects target type for 6 techniques in a single call.AGPL 3.0
- Enumerate subdomains, detect wildcard DNS, discover related domains via certificate transparency, and summarize attack surface using 8 techniques across 3 phases.AGPL 3.0
- Get overall defense statistics including total defenses, active count, average effectiveness, and block counts. Requires Pro tier or Novyx Cloud.MIT
- Generate test cases for prompt templates to validate functionality against specified models and context schemas.Apache 2.0
- Track scar application by recording reference details and execution outcome to measure effectiveness.MIT
- Analyze patterns in Bitcoin Stamps to identify common libraries, frameworks, and coding techniques used across the ecosystem.MIT
- Search the MITRE ATLAS catalog for AI/ML attack techniques by keyword, tactic, or maturity to find techniques matching threat-model questions.MIT