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Found 4,747 Skills
Build a retrospective or forward-looking work timeline from git commits, project docs, user notes, or chat records, then output a Markdown and/or HTML report with a Gantt chart or timeline visualization. Use when the user wants to review past work across one or more projects, explain time allocation to a mentor, summarize what was done in a period, or plan the next phase with a timeline.
SEO intelligence toolkit covering the full lifecycle via live web data: keyword research, rank tracking, site audits, content gap analysis, competitor keyword reverse-engineering, AI visibility across five platforms (ChatGPT, Perplexity, Google AI, Gemini, Grok), and GitHub repo SEO. Crawls real sites and SERPs via Nimble CLI — no fabricated metrics. Triggers: "SEO", "keywords", "rank tracker", "site audit", "content gap", "competitor keywords", "AI visibility", "GitHub SEO", "SERP analysis", "keyword research", "technical SEO", "keyword difficulty", "topic clusters", "ranking delta", "on-page SEO", "AI citation audit". Do NOT use for competitor business signals — use `competitor-intel` instead. Do NOT use for competitor messaging — use `competitor-positioning` instead. Do NOT use for general web scraping — use `nimble-web-expert` instead.
Chief Security Officer mode. Infrastructure-first security audit: secrets archaeology, dependency supply chain, CI/CD pipeline security, LLM/AI security, skill supply chain scanning, plus OWASP Top 10, STRIDE threat modeling, and active verification. Two modes: daily (zero-noise, 8/10 confidence gate) and comprehensive (monthly deep scan, 2/10 bar). Trend tracking across audit runs. Use when: "security audit", "threat model", "pentest review", "OWASP", "CSO review". (gstack) Voice triggers (speech-to-text aliases): "see-so", "see so", "security review", "security check", "vulnerability scan", "run security".
Evaluates ML models for performance, fairness, and reliability. Use for metric selection, cross-validation strategies, overfitting/underfitting diagnosis, hyperparameter tuning, LLM evaluation, A/B testing, and production monitoring for model drift.
Scan project dependencies for CVEs, outdated packages, and license compliance across npm, pip, cargo, go, maven, and other ecosystems. Use for vulnerability scanning, SBOM generation, supply chain analysis, and automated dependency updates.
Sector rotation continuous monitoring via Longbridge — 6–12 month trend tracking across economic cycles (recovery / overheating / stagflation / recession), identifies leading sectors per cycle phase (recovery→consumer discretionary/financials, overheating→energy/materials, stagflation→healthcare/staples, recession→utilities/bonds), and outputs sector allocation recommendations. Differs from longbridge-sector-rotation which gives a point-in-time snapshot. Triggers: "行业监控", "板块监控", "行业跟踪", "经济周期", "顺周期", "逆周期", "行业配置", "周期行业", "防御行业", "行业仓位", "行業監控", "板塊監控", "行業追蹤", "經濟週期", "順週期", "逆週期", "行業配置", "週期行業", "防禦行業", "sector monitor", "sector tracking", "economic cycle", "defensive sector", "cyclical sector", "sector allocation", "late cycle", "early cycle", "sector positioning".
Generate 2D pixel art game assets, characters, sprite sheets, background removal, and game backgrounds. Trigger for "pixel art character", "sprite sheet", "walk cycle", "game sprites", "isometric sprites", "side-scroller assets", "RPG character sprites", "idle animation", "attack animation", "jump animation", "game background", "parallax background", "isometric map", "2D game art", "pixel art animation". Covers character generation (nano-banana-pro / gpt-image-2), sprite sheet animation (nano/edit or gpt-image-2/edit), background removal (Bria), and background generation (parallax layers or isometric map).
One-click multi-launchpad token creation with bundled buy, IPFS metadata, MEV protection across 6 launchpads on Solana and BSC
Use when you want to discover content series across your existing work — finds clusters by theme rather than topic, identifies repeated points from different angles, flags incomplete arcs, and suggests series framing that makes relationships explicit.
Guides structured security log analysis across authentication, network, endpoint, and cloud audit log sources. Auto-invoked when the user shares log data, asks about suspicious events, needs help interpreting Windows Event IDs or Linux auth logs, or is establishing baselines for anomaly detection. Produces log source taxonomy, anomaly identification, baseline recommendations, and correlation findings mapped to MITRE ATT&CK v16 techniques.
Fetch today's trending topics from tophub.today across multiple platforms. Triggered when users ask "what's trending today", "hot topics", "今日热搜", or "微博热搜".
Create or include a Liquid template in a ***plain spec file using {% include %} syntax. Use when the same spec content needs to be reused across multiple .plain files with different parameters.