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Found 1,906 Skills
Expert social media strategist for LinkedIn, Twitter, and professional platforms. Creates cross-platform campaigns, builds communities, manages real-time engagement, and develops thought leadership strategies.
Search for new products and technologies through multiple channels, cross-verify the information, and store it in the knowledge base. Use this when users mention "latest information", "new products", "search for information", "look up information", or "learn about XX".
Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions (isolated, no cross-pollination), critic analysis, synthesis, founder review, and decision extraction. Use when the user invokes /cs:board, calls a board meeting, or wants structured multi-perspective executive deliberation on a strategic question.
Rethinks experiences for different platforms and contexts — not just resizing, but reconceiving. Part of the Intent design strategy system. When an experience moves from desktop to mobile, web to TV, consumer app to kiosk, or visual interface to voice, the interaction model, information priority, and user context all change. Trigger when: adapting a design for a new platform, planning multi-device experiences, auditing cross-platform consistency, designing for TV/kiosk/voice/embedded, or when someone says "make it work on mobile" and you need to push back on "just shrink it." Also trigger for cross-device journey continuity, platform convention audits, or context-specific priority mapping.
Founder-mode executive team. 8 cs-* C-suite agents (CFO, CMO, CRO, CPO, COO, CHRO, CISO, Chief of Staff) and 17 /cs:* slash commands for forcing-question office hours, multi-role boardroom deliberation, strategic sprint pipeline, and meta routing. Use when the founder needs a virtual executive team, when invoking /cs:* commands, or when orchestrating multi-role decisions.
ARK-style single-stock disruptive-innovation diagnostic. Suitability gate on 4 dimensions (platform fit / innovation revenue / R&D intensity / management vision); if it passes, builds TAM (low/base/high), Wright's-Law cost curve with sourced learning rate, three-scenario 5-year target (Bull/Base/Bear, 15% discount), risks, conditional action frame. Data: Longbridge CLI first, MCP fallback, WebSearch only for TAM / learning rates / industry runway. Runs cross-statement reconciliation BEFORE analysis. Closes with a data-source appendix whose final row is the reconciliation summary. Independent implementation — not affiliated with ARK Invest. Triggers: "木头姐", "ARK", "ARKK", "颠覆式创新", "莱特定律", "TAM", "5年目标价", "情景分析", "AI 与大数据", "自动化与机器人", "能源存储", "基因革命", "区块链与金融科技", "木頭姐", "顛覆式創新", "萊特定律", "5年目標價", "Cathie Wood", "ARK Invest", "disruptive innovation", "Wright's Law", "learning rate", "bull base bear", "scenario analysis".
Guides enterprise-scale cloud architecture—multi-BU landing zones and federation, cloud Center of Excellence governance, enterprise agreement and commit strategy, org-wide FinOps and chargeback, regulated-workload patterns (residency, segmentation), hybrid integration with identity and ERP, and architecture review board standards for large organizations. Use when designing cloud at hundreds of accounts, steering CCoE policy, EA/MACC optimization, sovereign or regulated cloud placement, or executive cloud governance—not for single-product cloud designs (cloud-architect), hands-on service config (cloud-engineer), SOC 2 evidence automation (compliance-engineer), general cross-domain ADRs (senior-system-architecture), or enterprise AI copilot architecture (applied-ai-architect-commercial-enterprise), or VP-level cloud program portfolio and board narratives (vp-of-cloud).
Guides senior front-end software engineering—TypeScript/React/Next.js architecture, component design, client and server rendering, state and data fetching, styling and design systems, accessibility (WCAG), performance (Core Web Vitals), testing, and senior-level UI code review. Use when building or refactoring complex UIs, designing component APIs, optimizing LCP/INP/CLS, implementing accessible interactions, integrating design tokens, or reviewing front-end PRs—not for backend APIs or databases (fullstack-software-engineer, senior-fullstack-developer), design-only critiques without implementation, CI/CD (devops), or cross-service system RFCs (senior-software-engineer). For implementing screens from design specs, component states, and visual QA, use ui-software-engineer. Deep perf investigations and load/RUM analysis: performance-engineer.
Use when building a quarterly bookings forecast, ARR projection, pipeline forecast, NRR projection, or commit/best-case/pipe-only board number — especially when the CRO needs to walk the board through funnel math + cohort ARR + per-stage conversion assumptions without the theatre of a single undefended number. Decomposes pipeline into commit, best-case, and pipe-only tiers; projects cohort-level NRR/GRR to surface leaky cohorts before they show up in the consolidated number; scores per-stage funnel confidence so soft-floor stages get treated differently from high-confidence ones. Every output explicitly names the conversion rate used, the data window, and the weighting choice. For Head of Commercial, RevOps, VP Sales, and CRO at quarterly forecast or board prep. NOT financial close (see finance/financial-analysis). NOT strategic CRO hiring/territory (see c-level-advisor/cro-advisor). NOT pricing (see sibling pricing-strategist).
Tests WebSocket API implementations for security vulnerabilities including missing authentication on WebSocket upgrade, Cross-Site WebSocket Hijacking (CSWSH), injection attacks through WebSocket messages, insufficient input validation, denial-of-service via message flooding, and information leakage through WebSocket frames. The tester intercepts WebSocket handshakes and messages using Burp Suite, crafts malicious payloads, and tests for authorization bypass on WebSocket channels. Activates for requests involving WebSocket security testing, WS penetration testing, CSWSH attack, or real-time API security assessment.
QLC+ (Q Light Controller Plus) lighting software — workspace files (.qxw), scenes, chasers, sequences, collections, EFX, RGB matrices, fixture definitions (.qxf), Virtual Console, and timing calculations. Use this skill whenever the user is working with QLC+ workspace XML, creating/editing scenes/chasers/shows, debugging timing or crossfade issues, generating fixture definitions, setting up Virtual Console widgets (cue lists, solo frames, buttons, sliders), troubleshooting HTP/LTP conflicts, fixing corrupted .qxw files, configuring QLC+ plugins (DMX USB, Art-Net, MIDI, E1.31), or asking any question where QLC+ is the software being used. Also trigger for SpeedModes, FadeIn/Hold/Duration, FixtureVal, RunOrder, or QLC+ function types. Do NOT trigger for general DMX hardware questions without QLC+ context, fixture buying advice, DAW-only questions, or custom protocol implementations.
Augment a Wren project with business context that DB schema cannot carry — enum value meanings, units (USD vs cents, ms vs sec), NULL semantics, magic sentinels (-1 = unknown), soft-delete default filters, business synonyms, time-grain / TZ conventions, cross-system identifiers, currency rules, canonical-table preferences, AND named aggregation metrics (ARR, churn, DAU, WAU, NRR) proposed as cubes. Runs in one of two modes selected at session start: `grill` (one question at a time, user-driven) or `auto-pilot` (agent infers and applies, escalates only on conflicts and high-blast-radius additions like new cubes / views / relationships). Reads everything under <project>/raw/ (PDFs, glossaries, handbooks, code, data dictionaries) and optionally samples low-cardinality columns from the live DB (grill mode), compares against the current MDL / cubes / instructions.md / queries.yml / memory pairs, then fills gaps via the ten-category gap catalog and the cube proposal flow. Confirmed findings are written back to the right sink. Use when: user says 'enrich context', 'augment my project', 'grill me on this project', 'auto-fill my context', 'agent doesn't understand our docs / enum values / units / null meanings', 'business context is missing', 'what does status=A mean', 'is this amount in USD or cents', 'we keep getting wrong aggregations', 'add cubes for ARR / DAU / churn', 'we have a handbook / glossary / data dictionary the agent should know'; or after generating an MDL and noticing the agent lacks business semantics.