reasoningbank-agentdb
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and…
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Updated 11-02 00:09
25,479 results
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and…
Generates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification. Use when the user wants to create…
Use when public operations of Dreamina Canvas dreamina-canvas need to be invoked, including model voice discovery, canvas and asset management, node editing, timeline, quote confirmation runs, state recovery, and download verification; specific generation modes, installation, and login are handled by the corresponding CLI skills.
Mingdao Cloud HAP MCP automated configuration skill. **Immediate trigger conditions**: the user mentions "configure MCP", "add MCP", "MCP configuration", "MCP connection", "set up MCP", provides a configuration containing "hap-mcp-", or provides a URL containing "HAP-Appkey" and "HAP-Sign". Supports 9 AI...
Manage dotagents dependencies and runtime config. Use when asked to "add a skill", "install skills", "remove a skill", "configure plugins", "configure…
Scan agent skills for security issues. Use when asked to "scan a skill", "audit a skill", "review skill security", "check skill for injection", "validate…
Claude Code and Cursor only. Use only when the user names fable5-model-routing or asks to put Fable 5 on the judgment — difficult judgment, long-horizon work,…
Use only when the user asks for parallel subagents, delegated agents, agent teams, or competing research tracks, or names orchestrate-subagents. Orchestrates…
Use only when the user invokes small-model-handoff by name, or when a pack skill (gigio-execute-plan, orchestrate-subagents) name-calls it while dispatching to…
List, inspect, and run Glean AI agents. Use when discovering available agents, viewing agent schemas, or invoking agents programmatically.
Deprecated compatibility skill. Local GoLogin Orbita automation now belongs to gologin-agent-browser-skill and the unified gologin-agent-browser-cli. Use this…
Provides capabilities to run SpeciesNet detector and classifier on camera trap images, extract crop-level feature embeddings, and populate a Hoplite vector…
Initializes a local uv-managed project directory for agentic ecology workloads. Sets up Python dependencies using reference pyproject.toml and uv.lock,…
GitHub Copilot custom agent design patterns, best practices, collaboration workflows, and agent orchestration
Network egress control for AI agents with domain whitelisting, Squid proxy, iptables enforcement, and secure credential management
Platform-agnostic AI skills library for ServiceNow - 47 comprehensive skills for ITSM, CMDB, Catalog, Security, Reporting, and Development
Manual-only long improvement campaign run by Claude + Codex as a pair. Use only when the user explicitly invokes goal-loop and supplies one target plus what…
Create AI videos, manage avatars, translate videos, and download results via the HeyGen API. Use when an agent needs to generate videos from text prompts,…
Connect tools and services to a user's Poke — built-in integrations (Linear, Notion, GitHub, Sentry, Vercel, Gmail, Outlook, etc.) and custom MCP servers via…
Connect a local MCP server to a Poke agent using the `poke` CLI — `poke login`, `poke mcp add` for remote URLs, and `poke tunnel` to forward a local port to…
Build and publish Poke Recipes — shareable install bundles that combine onboarding context, a first message, required integrations, and a `poke.com/r/<code>`…
Use when coordinating running wt work: inspect status, send feedback, review diffs/checks, complete workflow tasks when needed, and hand accepted work to…
Connect a website to the local-mcp browser bridge through a fixed UXC link. Use when the user needs to operate native WebMCP sites or adapter-backed sites…
Intelligent interview question generator. Based on JD analysis, user resume, and company characteristics, generates customized interview questions. Supports technical interviews, system design, behavioral interviews (STAR), and HR interviews. Provides different difficulty levels (easy/medium/hard). Automatically maintains a question bank and tracks practice history. Integrates with jd-analyzer and interview-coach.