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Found 229 Skills
Use this skill when optimizing for AI-powered search engines and generative search results - Google AI Overviews, ChatGPT Search (SearchGPT), Perplexity, Microsoft Copilot Search, and other LLM-powered answer engines. Covers Generative Engine Optimization (GEO), citation signals for AI search, entity authority, LLMs.txt specification, and LLM-friendliness patterns based on Princeton GEO research. Triggers on visibility in AI search, getting cited by LLMs, or adapting SEO for the AI search era.
Invoke external coding-agent harnesses non-interactively with an explicit model, working directory, prompt, and safety policy. Use when delegating work to Codex, Claude Code, Grok, OpenCode, Cursor CLI, GitHub Copilot CLI, or Cockpit, including from planning or review loops.
Run a high-signal local code review from a checked-out repository with Codex, Claude Code, or GitHub Copilot CLI, plus a Git-private continuity ledger. Use when reviewing a local branch, commit, uncommitted changes, or PR without a CI bot, including explicit autonomous remediation loops. Codex is the default reviewer; Claude and Copilot are selectable providers.
Use when you need to reduce token usage, lower API cost, fit work within a context window, or speed up an expensive/slow agent loop. Triggers on phrases like "optimize tokens", "reduce token usage", "save on cost", "fit in context", "context too long", "running out of tokens", "prompt caching", "compact the context", "agent is too expensive", "shrink the prompt", "cheaper model", "tokens-per-task". Provides a layered tactic catalog — measurement (heuristic counting and budget allocation), prompt-side levers (caching, system-prompt diet, tool-definition pruning), context management (compression, observation masking, file-system offload), agent-loop patterns (parallel tool calls, batch operations, model routing by complexity), and output-side controls (depth tiers, stop sequences, structured output). Project-agnostic and provider-agnostic; works across Claude Code, Codex CLI, Cursor, Gemini CLI, and Copilot.
Shepherd a GitHub pull request through AI review bots and CI until it is green on the latest commit: watch or poll the PR, verify every bot finding against the real code, fix what is real, answer each inline bot comment with a VALID / INVALID / OUT OF SCOPE verdict reply (with the fixing commit), react and resolve the thread, answer summary-only nitpicks in one top-level comment, fix CI failures, rerun infrastructure flakes and rebase when needed. Provider-agnostic: works with any review bot (Pullfrog, CodeRabbit, Copilot, Gemini and others). Use whenever the user asks to monitor, watch, babysit, shepherd or land a PR, to get a PR green, or to handle, triage or reply to review-bot comments, even if they don't name this skill.
Migrates skills, agents, and rules between Google Antigravity 2.0 (IDE/CLI) format and other Agentic AI Provider formats (Cursor, Windsurf, Claude Code, GitHub Copilot, Roo Code), and vice-versa. Use when asked to migrate/convert agent customizations, rules, or skills to or from Antigravity.
Initialize or repair SigNoz MCP server configuration for Agent Plugins v1, Claude Code, Codex, Cursor, VS Code/GitHub Copilot, Claude Desktop, Gemini CLI, Devin CLI, Grok Build, Windsurf, Zed, Antigravity CLI, OpenCode, or another MCP client. Use this skill before any SigNoz docs, query, dashboard, alert, or view workflow when `signoz_*` tools are unavailable, or when the user says "setup SigNoz MCP", "configure SigNoz plugin", "wrong region", "change SigNoz region", "MCP auth failed", or asks to connect SigNoz Cloud or a self-hosted MCP endpoint, even if they do not mention the plugin.
Use this skill when the user asks about AI Center Coding Agents data, wants to reproduce or extend the Coding Agents dashboards, or asks questions about usage, cost, tokens, sessions, tools, code impact, users, models, spans, or logs for Claude Code, Codex, Cursor, Gemini CLI, or Copilot CLI.
Product-management copilot based on the Pragmatic Institute Framework (Foundations, Focus, Build). Use this as the entry point whenever a product manager wants to work through building a product or feature the market-driven way — e.g. "I want to build a feature", "help me plan this product", "where do I start", "I have an idea for X". It figures out where the PM is in the Pragmatic journey, guides them through the right stages (market research, personas, positioning, strategy, requirements, roadmap, launch), and produces a client-ready artifact (Markdown or Word .docx) at every stage. Also use it to explain the Pragmatic Framework or choose which PM artifact to create.
Hunt LLM/AI feature bugs — prompt injection, indirect injection, exfiltration via tool-use/markdown, ASCII smuggling, agentic AI security (OWASP Agentic Apps 2026, ASI01-ASI10). Patterns: direct injection ('ignore previous instructions'), indirect injection via documents/web pages/email the model reads, ASCII smuggling (Unicode Tags block U+E0000-U+E007F, invisible to humans, decoded by the model), tool-use exfiltration (model has fetch/browse tool, attacker injects OOB URL, model exfils chat history/secrets), markdown-image zero-click exfil, system-prompt extraction, IDOR-via-AI (cross-tenant data). Targets: chatbots, RAG, summarizers, agentic copilots, MCP tools. Detection: any LLM-backed endpoint, doc upload triggering AI processing, autonomous agent with tools. Validate: OOB/Collaborator callback for exfil, verbatim-reproducible system-prompt leak (run twice), verifiable cross-tenant leak or RCE. Confabulation is NOT a finding. Use when hunting AI features, chatbots, RAG, agentic systems, MCP.
Track whether a brand and its competitors get cited or mentioned across Google AI Overviews, Google AI Mode, ChatGPT Search, Perplexity, Microsoft Copilot, and Google Gemini for a defined set of prompts, on a recurring schedule. Use when user asks to track AI visibility, monitor brand mentions in AI search, track ChatGPT citations, do AI search SEO tracking, GEO tracking (Generative Engine Optimization), AEO tracking (Answer Engine Optimization), monitor Perplexity citations, track AI Overviews mentions, see if their brand shows up in AI search, discover which prompts competitors rank for in AI search, find citation opportunities, or audit a website for AI visibility readiness.
Connect an AI agent to the Prepr MCP server. Use this skill whenever the user wants to connect, set up, authorize, or fix the Prepr MCP connection, Prepr tools are missing or unauthorized, another Prepr skill needs MCP and it is not configured, the user asks how to use Prepr from Claude Code, Cursor, Codex, VS Code, Copilot, OpenCode, Claude Desktop, or ChatGPT, or asks about a Prepr MCP token.