Loading...
Loading...
Found 1,934 Skills
Primary router skill for broad .NET work. Classify the repo by app model and cross-cutting concern first, then switch to the narrowest matching .NET skill instead of staying at a generic layer.
Use this skill whenever calling agent-uml MCP tools (design_create, diagram_upsert, design_feedback, design_export) to render PlantUML diagrams on the collaborative canvas. Covers three tiers — rendering safety (syntax that prevents HTTP 400 blank canvas), conversation mechanics (when to push a version vs ask a question, what to write in the message parameter), and design effectiveness (decomposition thresholds, cross-diagram traceability, export readiness). Trigger even when the task seems simple — a missing `as alias` makes elements un-annotatable, and a skinparam mismatch makes diagrams unreadable on the warm
Legal document drafting -- contracts, memos, briefs, complaints, demand letters, opinions, discovery, settlements, ToS, privacy policies. Full pipeline: document structure, per-section writing, Bluebook citation, case law lookup (CourtListener API), regulation lookup (eCFR API), DOCX output, and TDD-style verification (defined terms, cross-references, placeholders, boilerplate, citation format). Triggers on: 'draft a contract', 'write a legal memo', 'create an NDA', 'write a brief', 'legal document about', 'draft a complaint', 'terms of service', 'privacy policy', 'demand letter', 'settlement agreement', 'legal opinion', 'discovery requests', any request to produce a legal or law-related document.
Generative ideation engine. Takes a domain, trend, question, or constraint and produces 15-30 novel possibilities — things that might be true, businesses that could exist, futures that could unfold. Spawns a team of 6 specialist agents — Signal Scout, Analogist, Inverter, Combinator, Contrarian, Futurist — who each generate ideas from a distinct creative angle. The lead cross-pollinates across agents, finds unexpected combinations, and ranks the output by novelty × plausibility. Use when the user says "brainstorm", "what could exist", "what's possible", "generate ideas", "what might be true", "possibilities", or presents a domain and wants divergent exploration rather than evaluation of a specific idea.
MaxIQ platform help — AI-native revenue intelligence with EchoIQ conversation intelligence, InspectIQ pipeline visibility, ForecastIQ AI-driven forecasting, 9 AI agents (NoteTaker, Radar, Summarizer, Coach, Taskmaster, Watchdog, Forecaster, Revenue Planner, Deal Mapper), usage-based pricing (no per-seat), Salesforce/HubSpot CRM sync. Use when EchoIQ not capturing all meeting types, AI Coach scoring criteria not matching your sales process, CRM fields not auto-populating from calls, InspectIQ deal signals seem inaccurate, ForecastIQ predictions not matching reality, comparing MaxIQ vs Gong vs Clari for revenue intelligence, setting up AI Radar keyword tracking, or evaluating usage-based CI pricing vs per-seat alternatives. Do NOT use for designing outbound cadences (use /sales-cadence) or cross-platform coaching programs (use /sales-coaching).
BrandJet AI platform help — multi-channel outreach sequences, unified inbox, brand monitoring, AI visibility tracking, lead discovery, social listening, email warmup, Artemis AI agent, and integrations. Use when outreach sequences aren't getting replies, brand mentions going unnoticed, multi-channel sequences feel disjointed, unified inbox is overwhelming, or AI visibility scores are dropping. Do NOT use for designing cadence strategy (use /sales-cadence), cross-platform deliverability (use /sales-deliverability), social listening strategy (use /sales-social-listening), or enriching contacts (use /sales-enrich).
End-to-end testing patterns with Playwright for full-stack Python/React applications. Use when writing E2E tests for complete user workflows (login, CRUD, navigation), critical path regression tests, or cross-browser validation. Covers test structure, page object model, selector strategy (data-testid > role > label), wait strategies, auth state reuse, test data management, and CI integration. Does NOT cover unit tests or component tests (use pytest-patterns or react-testing-patterns).
Read-only observability dashboard plugin for Hermes Agent — journeys, crossings, guideposts, and reports.
Core technical-indicator signal engine for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Computes and interprets MACD, KDJ, RSI, Bollinger Bands, EMA, ADX, and OBV from OHLCV data; combines multi-dimensional votes (trend / mean-reversion / volume-price) to produce a composite buy / sell / neutral signal. Triggers: "技术指标", "MACD", "KDJ", "RSI", "布林带", "布林线", "EMA", "ADX", "OBV", "金叉", "死叉", "超买", "超卖", "技术分析", "趋势指标", "量价", "技術指標", "布林帶", "技術分析", "超買", "超賣", "technical indicator", "MACD signal", "KDJ overbought", "RSI oversold", "Bollinger Bands", "moving average", "golden cross", "death cross", "technical analysis".
NCAA cross country and track & field athlete data via TFRRS (tfrrs.org) and news via The Stride Report. Fetch athlete profiles including all personal records (PRs), eligibility year, school, full season-by-season results history, and XC/TF news. Zero config, no API keys. Use when: user asks about NCAA cross country, NCAA track and field, college running, TFRRS athlete profiles, personal records, PRs, XC or TF season results, individual athlete performance history, or XC/TF news. Don't use when: user asks about professional track, Diamond League, or other sports — use nfl-data, nba-data, wnba-data, nhl-data, mlb-data, golf-data, cfb-data, cbb-data, tennis-data, fastf1, or volleyball-data. For betting use polymarket or kalshi.
Plan a non-trivial code change end-to-end — size triage (XS–XL), slicing strategy, optional parallel subagent dispatch, per-slice Implement → Test → Verify → Commit discipline. Use for any multi-file change, refactor across files, executing a planned task from any planning source, cross-cutting modification (analytics sweep / i18n / library migration), or when about to write more than ~100 lines. 也用于增量实现 / 切片落地 / 推进已规划任务 / 跨切面改动。Skip only for trivial XS edits and pure documentation / configuration changes.
Hedging strategy design framework — Beta hedge ratio (portfolio vs benchmark), option protection strategies (protective put / collar), tail-risk hedges (VIX-related / gold / treasuries), cross-asset hedges (currency risk), and hedge cost assessment (option premium vs protection value). Triggers: "对冲", "对冲策略", "Beta对冲", "保护性看跌", "领口策略", "尾部风险", "汇率对冲", "对冲比率", "對冲", "對冲策略", "Beta對冲", "保護性看跌", "領口策略", "尾部風險", "hedging", "hedge strategy", "beta hedge", "protective put", "collar strategy", "tail risk hedge", "currency hedge", "hedge ratio", "portfolio insurance".