Universal AI skill router with dual-mode discipline: ponytail for code, caveman for chat. Auto-routes any prompt to the best installed skill. Zero slash commands. 75% fewer tokens. Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode.
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDEPLUGINROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop.
Agent skills for the River API — write correct training scripts with the river-client Python package: LoRA fine-tuning, SFT, and RL/GRPO on River-hosted models.
★not rated 3 1mo agoA
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originalApache-2.0
Hybrid (semantic + keyword) code search, RAG chat, and code-review tools for Delphi/Pascal — and 45 other languages — via a 17-tool MCP server. Requires a local CodeIntel installation (Qdrant + Python deps) already set up — see tools/install.ps1.
★not rated 2 3d agoA
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originalApache-2.0
Multi-model LLM Council + parallel AI window for Claude Code. Run structured council reviews across Gemini, GPT, DeepSeek and more — or fork a conversation to any model and fold the results back.
★not rated 2 3d agoA
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originalMIT
Vault-native memory for Claude Code. Markdown is ground truth. Hybrid retrieval, temporal knowledge graph, zero LLM cost on Stop, token-aware adaptive context.
★not rated 2
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originalApache-2.0
Skills for building and verifying Nifra apps: contract-first APIs, full-stack SSR on five UI libraries, and the check/assure/capabilities gates. Prefers Nifra's live MCP server over model recall.
★not rated 2 yesterdayA
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originalMIT
Build high-quality, structured prompts using the 10-block framework from Anthropic's 'Prompting 101' workshop. Interview-style: asks 4 targeted questions, picks a task-type template, and produces a production-grade prompt with annotations and a test plan.
★not rated 2 3mo agoA
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originalMIT
Evaluate a RAG/LLM app: generate a golden set from your docs, run LLM-as-judge + retrieval metrics, and produce a shareable HTML scorecard with a CI gate.
★not rated 2 25d agoA
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originalMIT
Search and analyze GitHub repositories or HuggingFace models - discover projects by use case, topic, or trending activity, deep-dive into repo details, or find ML models for your need.
★not rated 2 5mo agoA
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originalMIT
Hybrid prompt linter — deterministic Node detector for 18 of 20 rules plus an LLM model layer for PR003, PR009, and semantic cases of PR002, PR005, and PR010. Lint, don't rewrite. Markdown or JSON output, suppression comments, baseline mode, conformance corpus (25 cases), CI recipes. Never imposes a framework, never…
★not rated 2 4mo agoA
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originalMIT
Responsible AI skills for coding agents — bias assessment, governance documentation, explainability, fairness testing, and alignment review. Auto-activates when building AI systems.
★not rated 2 5mo agoA
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originalMIT
A cute terminal pet that refines your rough prompts using your current session's context, memory, and model. No API key.
★not rated 2 2mo agoA
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originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: