智能体
Agent 规划、多步流程与编排
financial-health-scores
OctagonAI
Retrieve financial health scores including Altman Z-Score and Piotroski Score for public companies. Use when assessing bankruptcy risk, financial strength, value investing screening, or credit quality analysis.
commodities-list
OctagonAI
Retrieve the full catalog of tradable commodities across energy, metals, and agriculture using Octagon MCP. Use when researching commodity markets, identifying trading firms, understanding market participants, and analyzing commodity sector coverage.
earnings-mgmt-comments
OctagonAI
Extract management's commentary on specific topics from earnings call transcripts, including product development, strategy, competitive positioning, and executive quotes.
historical-financial-ratings
OctagonAI
Retrieve historical financial ratings and key metric scores over time using Octagon MCP. Use when analyzing overall ratings, return on assets, return on equity, discounted cash flow scores, debt-to-equity scores, and letter grades (A+, A, B, etc.) for any public company.
sec-8k-analysis
OctagonAI
Analyze 8-K filings to extract material events and corporate changes using Octagon MCP. Use when tracking real-time corporate disclosures, M&A announcements, leadership changes, earnings releases, and other material events requiring immediate investor attention.
sec-cash-flow-review
OctagonAI
Extract and analyze cash flow trends and working capital changes from SEC filings using Octagon MCP. Use when researching operating cash flow, investing activities, financing activities, free cash flow, liquidity, and working capital dynamics from 10-K and 10-Q filings.
price-target-summary
OctagonAI
Retrieve analysts' price target summary for any stock using Octagon MCP. Use when evaluating analyst sentiment, upside/downside potential, consensus expectations, and tracking target trends over time.
claude-code-plugins
melodic-software
"Surface the USER's unknown-unknowns before they work in unfamiliar territory — an unfamiliar codebase area OR an unfamiliar domain vocabulary — and coach a sharper prompt. Scans for gaps the user's framing missed, emits one blindspot card per gap (the gap, why it matters here, a copyable prompt-fix line), then assembles the fixes into one improved implementation prompt. Use when: 'what am I missing', 'find my blindspots', 'what do I not know here', 'sharpen this prompt', 'I am new to this area', or about to work somewhere you do not know well and the goal is a better prompt — not the codebase handoff artifact /discovery:explore produces."
esg-ratings
OctagonAI
Retrieve ESG ratings and scores using Octagon MCP. Use when analyzing Environmental, Social, and Governance ratings, MSCI ESG ratings, Sustainalytics risk ratings, industry ESG rankings, and sustainability metrics for any public company.
industry-performance-snapshot
OctagonAI
Retrieve a daily overview of industry performance using Octagon MCP. Use when analyzing daily price movements, average changes, and performance trends for specific industries within an exchange.
esg-benchmark-comparison
OctagonAI
Retrieve ESG benchmark comparison metrics by sector using Octagon MCP. Use when comparing ESG performance across industries, analyzing sector-level sustainability benchmarks, identifying ESG leaders and laggards by industry, or referencing frameworks like MSCI, S&P Global, CDP, and CSRD.
forex-list
OctagonAI
Retrieve a full listing of actively traded currency pairs in the global forex market using Octagon MCP. Use when researching forex markets, understanding currency pair categories, analyzing major/minor/exotic pairs, and identifying trading opportunities.
balance-sheet-growth
OctagonAI
Retrieve year-over-year growth in balance sheet items including Total Assets, Total Liabilities, Shareholders Equity, Cash, and Inventories. Use when analyzing company financial position trends, capital structure changes, or liquidity management.
claude-agent-sdk-ruby
ya-luotao
Use when writing or refactoring Ruby code that integrates Claude Code via the claude-agent-sdk gem (ClaudeAgentSDK.query, ClaudeAgentSDK::Client, streaming input, ClaudeAgentOptions configuration including global defaults via ClaudeAgentSDK.configure, tools/permissions, MCP servers, hooks, structured output, budgets, sandboxing, betas/tools presets, control-timeout handling, session resumption/rewind, and Rails patterns like jobs or ActionCable).
agent-native-architecture
petekp
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.
fixer
petekp
Cold, methodical diagnostician for when you're stuck in agent-assisted app development. Call the fixer when: (1) You're in a loop with a coding agent and things keep getting worse, (2) Your project has accumulated so many agent-generated changes you've lost the thread, (3) Builds are broken and you can't figure out why, (4) You've tried multiple approaches and none are working, (5) You need someone to cut through confusion and give you a clear path forward. Triggers on: "I'm stuck", "nothing is working", "help me fix this", "I'm going in circles", "the agent keeps breaking things", "I've lost track of what's happening", "can you take a look at this mess", or any expression of frustration with agent-assisted development. The fixer does not commiserate — it diagnoses, intervenes, and unblocks.
agent-changelog
petekp
Compile an agent-optimized changelog by cross-referencing git history with plans and documentation. Use when asked to "update changelog", "compile history", "document project evolution", or proactively after major milestones, architectural changes, or when stale/deprecated information is detected that could confuse coding agents.
autonomous-agent-readiness
petekp
Assess a codebase's readiness for autonomous agent development and provide tailored recommendations. Use when asked to evaluate how well a project supports unattended agent execution, assess development practices for agent autonomy, audit infrastructure for agent reliability, or improve a codebase for autonomous agent workflows. Triggers on requests like "assess this project for agent readiness", "how autonomous-ready is this codebase", "evaluate agent infrastructure", or "improve development practices for agents".
openclaw-customizer
petekp
Expert guide for configuring, customizing, and creatively leveraging OpenClaw — the self-hosted AI gateway that connects LLMs to messaging channels (Telegram, WhatsApp, Discord, Slack, iMessage, etc.). Use when the user wants to: (1) Set up or modify their openclaw.json configuration, (2) Write or edit bootstrap files (SOUL.md, USER.md, AGENTS.md, IDENTITY.md, TOOLS.md), (3) Configure messaging channels, (4) Set up models and providers, (5) Create multi-agent routing, (6) Build skills, hooks, or cron jobs, (7) Troubleshoot OpenClaw issues, (8) Get creative ideas for leveraging OpenClaw in non-obvious ways. Triggers on: openclaw, gateway, SOUL.md, USER.md, AGENTS.md, IDENTITY.md, channels setup, agent routing, heartbeat, cron jobs, openclaw hooks, openclaw skills, openclaw config, openclaw.json, personal assistant setup.
agent-telemetry
petekp
Make application behavior visible to coding agents by exposing structured logs and telemetry. Use when asked to "add telemetry", "make logs accessible to agents", "add observability", "debug with logs", or when an agent needs to understand runtime behavior but has no way to query logs. Also use when debugging is difficult because there are no structured logs, when agent docs (CLAUDE.md, AGENTS.md) lack instructions for querying application logs, or when setting up logging infrastructure for a new or existing web application.
find-skills
petekp
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 interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
dspy-gepa-reflective
OmidZamani
This skill should be used when the user asks to "optimize an agent with GEPA", "use reflective optimization", "optimize ReAct agents", "provide feedback metrics", mentions "GEPA optimizer", "LLM reflection", "execution trajectories", "agentic systems optimization", or needs to optimize complex multi-step agents using textual feedback on execution traces.
dspy-react-agent-builder
OmidZamani
This skill should be used when the user asks to "create a ReAct agent", "build an agent with tools", "implement tool-calling agent", "use dspy.ReAct", mentions "agent with tools", "reasoning and acting", "multi-step agent", "agent optimization with GEPA", or needs to build production agents that use tools to solve complex tasks.
ralph-loop-gen
Dwsy
"任务管理系统模板生成器 - 根据用户输入或JSON配置生成完整的任务管理结构（模板生成器，非直接执行器）"