资讯收集
跨来源检索、整理与摘要
youtube
atrislabs
"A YouTube link in any message routes here. Run atris youtube notes <url> FIRST: free, about 30 seconds, quotes verified against the transcript. Never summarize a video from model memory, that is fabrication. Use atris youtube process only to store it as queryable knowledge (5 credits). Triggers on: any youtube.com or youtu.be link, youtube, video, watch this, notes on this."
x-search
atrislabs
"X/Twitter search via xAI Grok API. Use when user wants to search tweets, monitor topics, find viral posts, or run social listening. Costs 5 credits per search. Triggers on x search, tweet search, twitter search, social listening, revenue intel, viral tweets."
fleet-inventory
RHEcosystemAppEng
Query and display Red Hat Lightspeed managed system inventory. Use this skill for information-gathering requests about the fleet, registered systems, or inventory queries. This skill focuses on discovery and listing only - for remediation actions, transition to the sre-agents:remediator agent (invoke the sre-agents:remediator agent). When to use this skill: - "Show the managed fleet" - "List all systems registered in Lightspeed" - "What systems are affected by CVE-X?" - "How many RHEL 8 systems do we have?" - "Show me production systems" When NOT to use this skill (use sre-agents:remediator agent instead): - "Remediate CVE-X on these systems" - "Create a playbook for..." - "Patch system Y" This skill orchestrates MCP tools from lightspeed-mcp to provide comprehensive fleet visibility and system inventory management.
cve-impact
RHEcosystemAppEng
CRITICAL: This skill must be used for ALL CVE discovery and listing queries. DO NOT use raw MCP tools like get_cves directly. Use this skill when users request: - Listing critical/high-severity CVEs: "show me critical vulnerabilities", "what are the most critical CVEs", "list all high-severity vulnerabilities" - CVE discovery: "what vulnerabilities affect my account", "show me all CVEs", "what are my security risks" - CVE impact analysis for specific CVEs: "what's the impact of CVE-X?", "analyze CVE-Y" - Risk assessment: "which CVEs are most urgent?", "prioritize vulnerabilities" - Understanding affected systems for a CVE - Comparing CVE severity levels - CVE discovery and prioritization (information gathering) DO NOT use this skill when users request remediation actions like: - "Create a remediation playbook" (use sre-agents:remediator agent) - "Patch CVE-X on system Y" (use sre-agents:remediator agent) - "Remediate these CVEs" (use sre-agents:remediator agent) This skill orchestrates MCP tools (get_cves, get_cve, get_cve_systems) to provide comprehensive CVE analysis with Red Hat Lightspeed context. When users ask for remediation after seeing the analysis, invoke the sre-agents:remediator agent. IMPORTANT: ALWAYS use this skill instead of calling get_cves or other vulnerability MCP tools directly.
manus
sanjay3290
Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.
external-pattern-integrator
Jamie-BitFlight
Integrates patterns from external sources (URLs or local files) into local skills, agents, and plugins. Use when comparing external agent definitions against local equivalents, extracting best practices from frameworks like GSD or BMAD-METHOD, enhancing local skills with external workflow patterns, or adding interoperability with external tool ecosystems. Runs a 3-phase workflow — parallel candidate mapping, contextual enhancement, and validation — with source attribution and backlog tracking for deferred enhancements.
UI/UX Design Expert
frankxai
Expert guidance on UI/UX design, design systems, accessibility (WCAG 2.2), user research, and creating inclusive, user-centered interfaces with 2025 best practices
agent-output-formats
akaszubski
Standardized output formats for research, planning, implementation, and review agents. Use when generating agent outputs or parsing agent responses.
mcp-exa-search
vaayne
Search the web, research companies, and find code context using Exa AI. Use when performing web searches, company research, or finding programming documentation. Triggers on "search the web", "find online", "research company", "code context for [library]", "Exa search".
product-management
julianromli
Assist with core product management activities including writing PRDs, analyzing features, synthesizing user research, planning roadmaps, and communicating product decisions. Use when you need help with PM documentation, analysis, or planning workflows that integrate with your codebase.
user-research
Logos-Liber
Research methodologies, user interviews, surveys, usability testing, persona creation, and insight extraction
battle-card-builder
travisjneuman
Competitive battle card creation for sales teams combining competitive intelligence, sales enablement, and document formatting. Use when building battle cards, competitive analysis decks, or win/loss analysis materials.
client-deliverables
garrettjsmith
When the user needs to create a client-facing document such as an SEO audit, proposal, scope of work, competitive analysis report, onboarding document, or market intelligence report. Also use when the user mentions "audit report," "proposal," "scope of work," "SOW," "pitch deck," "client presentation," "pricing document," "onboarding checklist," "competitive report," "market analysis," or "deliverable." For ongoing performance reports, see local-reporting. For the research behind audits, see local-seo-audit.
semrush-tool
garrettjsmith
When the user wants keyword research with search volume, competitive keyword analysis, site audit data, position tracking, or competitor organic analysis. Trigger on "keyword research," "search volume," "keyword difficulty," "what keywords do they rank for," "site audit," "Semrush," or "competitive analysis." Use Semrush for keyword data and competitive intelligence — use Ahrefs for backlink-focused analysis.
tech-news-digest
draco-agent
Generate tech news digests with unified source model, quality scoring, and multi-format output. Five-layer data collection from RSS feeds, Twitter/X KOLs, GitHub releases, Reddit, and web search. Pipeline-based scripts with retry mechanisms and deduplication. Supports Discord, email, and markdown templates.
pm-pmm
geekatron
Product management and product marketing decision framework. Invoke when users need product strategy (PRDs, vision, roadmaps), customer insight (personas, journey maps, VOC), business analysis (business cases, market sizing, pricing), competitive intelligence (battle cards, win/loss, competitive analysis), or go-to-market planning (GTM plans, positioning, MRDs, buyer personas). Uses 18 validated industry frameworks organized around Cagan's Value Risk and Business Viability Risk domains. Supports discovery mode (hypothesis-driven) and delivery mode (stakeholder-ready). Trigger keywords: PRD, product requirements, roadmap, prioritize, RICE, persona, journey map, VOC, business case, market sizing, TAM, competitive analysis, battle card, GTM, go-to-market, positioning, messaging, MRD.
user-experience
geekatron
"Parent orchestrator for AI-augmented UX methodology targeting tiny teams (1-5 people). Routes to 10 sub-skills by product lifecycle stage through criteria-gated waves. Invoke when team needs structured UX evaluation, user research, design systems, UX metrics, behavior diagnosis, feature prioritization, design sprints, or AI interaction design. Each sub-skill implements a proven UX framework with synthesis hypothesis confidence gates and MCP design tool integration. Triggers: UX, user experience, usability, heuristic evaluation, JTBD, lean UX, HEART metrics, atomic design, inclusive design, behavior design, Kano model, design sprint, AI-first design, UX audit, accessibility, design system, user research."
web-research
Merit-Systems
Neural web search and content extraction using x402-protected APIs. Better than WebSearch for deep research and WebFetch for blocked sites. USE FOR: - Deep web research and investigation - Finding similar pages to a reference URL - Extracting clean text from web pages - Scraping sites that block standard fetchers - Getting direct answers to factual questions - Research requiring multiple sources TRIGGERS: - "research", "investigate", "deep dive", "find sources" - "similar to", "pages like", "more like this" - "scrape", "extract content from", "get the text from" - "blocked site", "can't access", "paywall" - "what is", "explain", "answer this" Use npx agentcash fetch for stableenrich.dev endpoints. Prefer Exa for semantic/neural search, Firecrawl for direct scraping.
news-shopping
Merit-Systems
Search Google News and Google Shopping using Serper APIs via x402. USE FOR: - Finding recent news articles on a topic - Current events and breaking news - Product searches and price comparisons - Shopping research and product discovery - Industry news monitoring TRIGGERS: - "news about", "latest news", "recent articles" - "current events", "breaking", "headlines" - "shopping", "buy", "price", "product search" - "compare prices", "where to buy", "deals on" Use agentcash.fetch for Serper endpoints. Both endpoints are $0.04 per call.
web-research
Merit-Systems
Neural web search and content extraction using x402-protected APIs. Better than WebSearch for deep research and WebFetch for blocked sites. USE FOR: - Deep web research and investigation - Finding similar pages to a reference URL - Extracting clean text from web pages - Scraping sites that block standard fetchers - Getting direct answers to factual questions - Research requiring multiple sources TRIGGERS: - "research", "investigate", "deep dive", "find sources" - "similar to", "pages like", "more like this" - "scrape", "extract content from", "get the text from" - "blocked site", "can't access", "paywall" - "what is", "explain", "answer this" Use agentcash.fetch for stableenrich.dev endpoints. Prefer Exa for semantic/neural search, Firecrawl for direct scraping.
research-web
doodledood
'Deep web research with parallel investigators, multi-wave exploration, and structured synthesis. Spawns multiple web-researcher agents to explore different facets of a topic simultaneously, launches additional waves when gaps are identified, then synthesizes findings. Use when asked to research, investigate, compare options, find best practices, or gather comprehensive information from the web.\n\nThoroughness: quick for factual lookups medium for focused topics thorough for comparisons/evaluations (waves continue while critical gaps remain) very-thorough for comprehensive research (waves continue until satisficed). Auto-selects if not specified.'
news-shopping
Merit-Systems
Search Google News and Google Shopping using Serper APIs via x402. USE FOR: - Finding recent news articles on a topic - Current events and breaking news - Product searches and price comparisons - Shopping research and product discovery - Industry news monitoring TRIGGERS: - "news about", "latest news", "recent articles" - "current events", "breaking", "headlines" - "shopping", "buy", "price", "product search" - "compare prices", "where to buy", "deals on" Use npx agentcash fetch for Serper endpoints. Both endpoints are $0.04 per call.
glean-tools-guide
gleanwork
Use when Glean MCP tools are available and you need guidance on which tool to use, how to format queries, or best practices for enterprise search. This skill provides tool selection logic and query optimization for Glean integrations. Auto-triggers when mcp__glean tools are being considered.
enterprise-search
gleanwork
Use when the user asks about company documents, internal wikis, policies, specifications, design docs, RFCs, or enterprise knowledge. Triggers on phrases like "find the doc about", "what's our policy on", "where is the spec for", "company guidelines", "internal documentation", or when searching for information that would be in enterprise systems rather than the local codebase.