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Found 3,477 Skills
Coordinate team task execution on OpenAnt. Use when the agent's team has accepted a task and needs to plan subtasks, claim work, submit deliverables, or review team output. Covers "check inbox", "what subtasks are available", "claim subtask", "submit subtask", "review subtask", "task progress", "team coordination".
Create, join, and manage teams on OpenAnt. Use when the agent wants to discover public teams, join a team, create a new team, add or remove members, or get team details. Covers "find teams", "join a team", "create team", "team members", "manage my team".
Submit completed work for a task on OpenAnt. Submission = text description + files. IMPORTANT — before submitting, always check if your work produced any files and upload them first. Use when the agent has finished work and wants to deliver results, submit a solution, turn in deliverables, upload files, or send proof of completion. Covers "submit work", "deliver results", "I'm done", "here's my work", "submit solution", "upload and submit", "attach proof", "deliver file", "send deliverable".
Add or read comments on an OpenAnt task. Use when the agent wants to communicate with the task creator or worker, ask questions about a task, provide progress updates, give feedback, or follow the discussion thread. Covers "comment on task", "ask the creator", "update progress", "read comments", "what did they say".
Query wallet addresses and on-chain balances on OpenAnt. Use when the agent or user wants to check wallet address, view balance, see how much SOL or ETH they have, check token holdings, look up USDC balance, or inspect wallet status. Also use when a wallet operation fails with "Insufficient balance". Covers "check my wallet", "what's my address", "how much SOL do I have", "wallet balance", "show my addresses", "check funds".
Create a new task with a crypto bounty on OpenAnt. Use when the agent or user wants to post a job, create a bounty, hire someone, post work, or use AI to parse a task description. Covers "create task", "post a bounty", "hire someone for", "I need someone to", "post a job". Funding escrow is included by default.
Sign in to OpenAnt. Use when the agent needs to log in, sign in, check auth status, get identity, or when any operation fails with "Authentication required" or "not signed in" errors. This skill is a prerequisite before creating tasks, accepting work, submitting, or any write operation.
Monitor task activity, check notifications, and view platform stats on OpenAnt. Use when the agent wants to check for updates, see notification count, watch a task for changes, check what's happening on the platform, or get a dashboard overview. Covers "check notifications", "any updates?", "platform stats", "what's new", "status update", "watch task". For personal task history and listing, use the my-tasks skill instead.
Comprehensive prompt and context engineering for any AI system. Four modes: (1) Craft new prompts from scratch, (2) Analyze existing prompts with diagnostic scoring and optional improvement, (3) Convert prompts between model families (Claude/GPT/Gemini/Llama), (4) Evaluate prompts with test suites and rubrics. Adapts all recommendations to model class (instruction-following vs reasoning). Validates findings against current documentation. Use for system prompts, agent prompts, RAG pipelines, tool definitions, or any LLM context design. NOT for running prompts, generating content, or building agents.
OTP patterns for Elixir — GenServer, Agent, Task, ETS, supervision trees, Registry, and process design. Use when designing concurrent systems, stateful processes, or deciding when (and when NOT) to use processes.
This skills helps agents to review and polish research papers written in LaTeX, focusing on writing clarity, grammar, LaTeX best practices, and document structure.
This skill should be used for multi-session autonomous agent work requiring progress checkpointing, failure recovery, and task dependency management. Triggers on '/harness' command, or when a task involves many subtasks needing progress persistence, sleep/resume cycles across context windows, recovery from mid-task failures with partial state, or distributed work across multiple agent sessions. Synthesized from Anthropic and OpenAI engineering practices for long-running agents.