cxas-loss-analysis
Retrieves non-contained CCAI Insights conversations (losses), uses agent intelligence to cluster them into common failure patterns, and generates a markdown…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-25 00:14
Agents & models
24,795 results
gke-ai-troubleshooting-tpu-connection-failure-vbar-oom
Diagnose and prevent `vbar_control_agent` segfaults and OOMs caused by race conditions during TPU device resets and frequent metrics collection (e.g. every…
interrogate
Question the agent's understanding, proposal, and reasoning until you are satisfied it holds up. You lead the questions; the agent explains, investigates, and…
create-skill
This skill should be used when the user asks to "create a skill" or "make a command". Make sure to use this skill whenever the user mentions skill creation,…
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express…
prompt-generator
Write or improve one-off LLM prompts, system prompts, and prompt templates from rough notes.
handoff
Produces a self-contained handoff document a fresh agent can resume the work from. Run it with /handoff.
skill-creator
Creates high-quality Claude Code and Cowork skills using evidence-based principles: expert vocabulary payloads for knowledge routing, dual-register…
writing-agents-md
Writes (generates or updates) AGENTS.md — a token-efficient context file for AI coding agents. Analyzes project stack, constraints, and commands. Produces…
gocd
Manage GoCD pipelines, pipeline groups, agents, environments, config repos, server administration, users, roles, authorization configs, plugins, backups,…
cross-docking
When the user wants to implement cross-docking operations, optimize transshipment, or reduce warehouse storage. Also use when the user mentions "crossdock,"…
reinforcement-learning-supply-chain
When the user wants to apply reinforcement learning to supply chain problems, learn optimal policies, or solve sequential decision-making under uncertainty.…
learning-sdk-integration
Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK
category-selection
Amazon category automated product selection analysis skill. Conducts in-depth market research on Amazon categories through a five-dimension scoring model and generates a Markdown analysis report. This skill is triggered when users use the /category-selection command or make requests such as 'analyze the XX category,' 'XX category market research,' or 'XX category product selection.' Supports configuring the number of analyses, defaulting to Top20.
hierarchical-agents
Generate hierarchical AGENTS.md structure for codebases to optimize AI agent token usage. Use when creating AGENTS.md files, documenting codebase structure,…
celigo
Celigo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Celigo data.
chatbase
Chatbase integration. Manage data, records, and automate workflows. Use when the user wants to interact with Chatbase data.
memberful
Memberful integration. Manage Members, Plans, Products, Discounts. Use when the user wants to interact with Memberful data.
robomq
RoboMQ integration. Manage data, records, and automate workflows. Use when the user wants to interact with RoboMQ data.
game-the-llm-reviewer
Apply small, meaning-preserving rhetorical edits to a finished academic manuscript, to counter wording-driven LLM review penalties while keeping the scientific…
review-analyst-agent
Use this skill to analyze product reviews, find common issues, and prioritize improvements. Triggers: "analyze reviews", "review analysis", "customer…
fabriciq-ontology-consumption-cli
Explore Fabric IQ Ontology (preview) items (read-only) from the CLI to ground an agent before it queries data. Explore, describe, and summarize what an…
agentsmd-claudemd-generator
Generate AGENTS.md and CLAUDE.md files for a repository. AGENTS.md provides cross-tool agent instructions (supported by Claude Code, Cursor, Windsurf, Zed,…
tk-retro
[user/auto] Retrospect on the execution process, repeated mistakes, and tool waste of the current or a specified coding session, or investigate the causes of observed Agent Skill failures and propose improvements to prevent recurrence. Do not use for general code review, static skill catalog audits, or direct implementation.