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Found 1,658 Skills
Bootstrap the session into a team position. Loads the position profile from `ai-workspace/team/<name>.md`, loads sibling state directory if present (PLAYBOOK + DECISIONS), runs the position's session-start sequence. Use when a teammate session needs to assume a persistent role identity.
Builds, configures, debugs, and optimizes AWS observability using CloudWatch (Logs Insights, Metrics, Alarms, Dashboards, EMF), X-Ray, CloudTrail, and ADOT. Covers Log Insights query syntax (fields, filter, stats, parse, pattern, join, subqueries), alarm configuration (metric, composite, anomaly detection, missing data treatment), dashboard design, custom metrics (PutMetricData, EMF, metric filters), X-Ray tracing (ADOT, sampling rules, annotations vs metadata), ADOT collector config, and CloudTrail auditing. Use when the user mentions CloudWatch, Log Insights, alarms, INSUFFICIENT_DATA, dashboards, custom metrics, EMF, X-Ray, traces, sampling, CloudTrail, who deleted, ADOT, OpenTelemetry, observability, monitoring, synthetics, canaries, or troubleshooting alarm behavior. Do NOT use for application logging setup, container log drivers, or security threat detection.
Security audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. Triggers: "audit this skill", "is this skill safe", "scan skill for security", "check skill before install", "skill security check", "skill vulnerability scan".
Novel Logic/Plot Review, applicable to user requests such as "Help me check if there are bugs in my novel", "Check if there are timeline contradictions", "Check if characters are OOC", "Find plot conflicts between different parts", "Sort out whether foreshadowings are resolved", "Check the rationality of novel plots", "Check if there are plot loopholes", "Character behaviors are inconsistent with their personalities", "Check if the timeline is correct", "Find contradictions in the novel", "Help me sort out all foreshadowings", "Novel plot bug check", "Logical loophole troubleshooting", etc. It detects issues such as timeline conflicts, logical loopholes, character OOC, and missing foreshadowings. **Performs word count checks to ensure chapter word counts meet standards**, **generates a detailed issue list and automatically fixes all issues, with the fixed results directly modifying the chapters/ directory and automatically backing up the original files to .sumeru/write/original/ before modification**, **uses sub-Agents for parallel processing during batch review, with each Agent responsible for a maximum of 3 chapters**
Builds new project-specific skills or audits existing ones against the seven principles. Use when user says 'build a skill', 'create a skill', 'review this skill', 'audit our skills', 'is this skill good', 'what skills should we have', or 'clean up our skills directory'. Do NOT use for CLAUDE.md files (use create-or-audit-claude-md), subagents (use create-or-audit-agent), or hooks (use create-or-audit-hook).
Constituent stocks of an index or ETF via Longbridge Securities — list members of HSI / SPX / DJI / IXIC / CSI300 / a sector ETF, sortable by change, price, turnover, capital inflow, turnover-rate, or market cap. Returns a ranked roster. Triggers: "标普500有哪些", "标普成分股", "恒生成分股", "纳斯达克成分", "道琼斯成分", "沪深300成分", "ETF 持仓", "ETF 成分股", "指数成分", "成分股涨幅榜", "標普500成分", "恒生成分股", "納斯達克成分", "道瓊成分", "滬深300成分", "ETF 持倉", "ETF 成分股", "指數成分", "成分股漲幅榜", "S&P 500 constituents", "Hang Seng constituents", "IXIC components", "Dow components", "CSI 300 members", "ETF holdings", "ETF constituents", "index members", "what's in SPX", "what's in HSI", "HSI.HK", "SPX.US", "IXIC.US", "DJI.US", "000300.SH".
Industry valuation comparison and distribution analysis via Longbridge — cross-peer valuation matrix (PE / PB / PS / dividend yield), industry-percentile ranking, and industry premium / discount for a single stock. Triggers: "行业估值", "行业溢价", "行业折价", "行业对比", "行业百分位", "同行业估值", "板块估值", "行业贵不贵", "行業估值", "行業溢價", "行業折價", "行業對比", "行業百分位", "板塊估值", "industry valuation", "sector valuation", "industry premium", "industry percentile", "peer valuation", "sector PE", "TSLA.US industry valuation", "700.HK sector comparison".
Corporate-structure profile for a single listed company via Longbridge Securities — institutional/major shareholders, executives and key personnel, company overview (founding, employees, IPO, address), corporate actions (splits / dividends / rights / bonus), and parent–subsidiary investment relations. Read-only, single-symbol per call. Triggers: "谁是大股东", "股东结构", "管理层", "董事会", "公司简介", "公司基本信息", "拆股", "送股", "派息历史", "配股", "母公司", "子公司", "持股变动", "誰是大股東", "股東結構", "管理層", "公司簡介", "派息歷史", "持股變動", "shareholders", "major shareholders", "ownership structure", "executives", "management team", "board of directors", "company profile", "corporate actions", "splits", "rights issue", "bonus issue", "parent company", "subsidiaries", "AAPL.US shareholders", "700.HK executives".
Manages Neo4j Aura Agents via the v2beta1 REST API — create, list, get, update, delete, and invoke Aura agents backed by an AuraDB instance. Use when configuring Aura Agent tools (CypherTemplate, SimilaritySearch, Text2Cypher), setting system prompts, deploying agents to REST or MCP endpoints, or invoking agents with natural language queries. Covers OAuth2 auth, organization/project scoping, tool parameter schemas, and InvokeAgentResponse format. Does NOT cover AuraDB instance provisioning — use neo4j-aura-provisioning-skill. Does NOT cover vector index creation — use neo4j-vector-index-skill.
Helps engineering managers write messages, announcements, and stakeholder updates that land well — produces a 3-Step Writing Framework (Prepare / Write Simply / Run a Garbage Collector), the Async Re-Explanation Trap (calling out missed messages), and the Compression/Decompression model for diagnosing why messages are misunderstood. Use when the user says "draft a message," "write an announcement," "communicate this change," "how do I word this," "message for my team," "write an update," or "how do I communicate X." Do NOT use for verbal feedback or difficult conversations (use `feedback` or `difficult-situations`).
Graham cigar-butt (NCAV / net-net) single-stock diagnostic. Combines a 100-point static cheapness score (NCAV, PE, PB, dividend yield, debt coverage, earnings stability) with a dynamic adjustment layer (industry cycle, earnings trend, insider activity, NCAV trajectory) to separate real bargains from value traps. Pulls data from Longbridge CLI/MCP first, falls back to WebSearch only for gaps, runs cross-statement reconciliation (勾稽校验) before scoring, and footnotes every figure to its source. Triggers: "格雷厄姆", "捡烟蒂", "烟蒂股", "烟蒂投资", "NCAV", "净流动资产", "清算价值", "安全边际", "价值陷阱", "深度价值", "撿煙蒂", "煙蒂股", "煙蒂投資", "淨流動資產", "清算價值", "安全邊際", "價值陷阱", "深度價值", "Graham", "cigar butt", "net-net", "liquidation value", "value trap", "margin of safety", "deep value", "Benjamin Graham".
Establishes or reviews the directory layout, component conventions, composable design, Pinia store structure, and Vue Router configuration for a Vue 3 TypeScript application. Invoked when the user asks to structure a Vue app, set up the project layout, or review Vue architecture.