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Found 1,970 Skills
Your pathfinder for navigating unknown codebases. Investigates with precision, implements surgically, and never assumes — if it doesn't know, it says so. Maintains a .notebook/ knowledge base that grows across sessions, turning every discovery into lasting intelligence. Summons available skills, MCPs, and docs when the mission demands. Use when fixing bugs, implementing features, refactoring, investigating flows, or any development task in unfamiliar territory. Triggers on "fix this", "implement this", "how does this work", "investigate this flow", "help me with this code". Do NOT use for greenfield scaffolding, CI/CD, or infrastructure provisioning.
Draft a structured decision memo for Ane. Use when the user asks for a "decision memo", "decision doc", "options paper", "recommendation brief", or equivalent. Produces a scannable document with context, options, recommendation, risks, and reversibility. Applies Ane's CLAUDE.md writing style automatically.
Applies Steve Blank's Customer Development methodology from The Four Steps to the Epiphany. Use when a startup is searching for customers and a business model before scaling. Covers the four-step process: Customer Discovery (find if anyone wants what you're building), Customer Validation (prove you can sell it repeatably), Customer Creation (drive demand matched to Market Type), and Company Building (transition from learning org to execution org). Triggers include 'we built it but no one's buying', 'should we hire salespeople yet', 'how do we find our first customers', 'we're burning cash and sales aren't scaling', 'are we in a new or existing market', 'when do we scale'. NOT for companies that have already crossed the chasm into mainstream (use Crossing the Chasm instead), not for optimizing an existing sales funnel, not for product development methodology (this is its companion, not replacement).
Applies Eric Ries's Lean Startup methodology for building products under extreme uncertainty. Use when iterating toward product/market fit, designing MVPs, deciding whether to pivot or persevere, setting up actionable metrics, or accelerating the Build-Measure-Learn loop. Triggers include 'how do we test this idea fast', 'what should our MVP look like', 'our metrics look good but we're not growing', 'should we pivot', 'we're building features no one uses', 'how do we measure validated learning', 'vanity metrics vs real metrics', 'how to do innovation accounting'. NOT for companies with proven product/market fit scaling a known playbook (use Crossing the Chasm), not for determining Market Type (use Four Steps), not for sales methodology (use SPIN Selling), not for pricing strategy (use Monetizing Innovation).
Use this skill when creating a new Phaser 4 game instance or configuring GameConfig options. Covers renderer selection, canvas setup, scaling, pixel art, FPS settings, boot sequence, and all config sub-objects. Triggers on: new Phaser.Game, GameConfig, game setup, renderer, pixel art, FPS.
Explains how to use the Create Case DX API, including scalar content payloads, reference fields, allowed fields, and when to use this pattern.
Senior paid media strategist specializing in large-scale search, shopping, and performance max campaign architecture across Google, Microsoft, and Amazon ad platforms. Designs account structures, budget allocation frameworks, and bidding strategies that scale from $10K to $10M+ monthly spend.
Specialist in self-healing data pipelines — uses air-gapped local SLMs and semantic clustering to automatically detect, classify, and fix data anomalies at scale. Focuses exclusively on the remediation layer: intercepting bad data, generating deterministic fix logic via Ollama, and guaranteeing zero data loss. Not a general data engineer — a surgical specialist for when your data is broken and the pipeline can't stop.
Structured workflow for fact-checking claims in journalism. Use when verifying statements for publication, rating claims for fact-check articles, or building pre-publication verification processes. Includes claim extraction, evidence gathering, rating scales, and correction protocols.
Records research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags. Use as a session epilogue — never during execution — to maintain a faithful, auditable trace of how a research project actually evolved.
Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when user mentions CRO, chief revenue officer, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, or sales capacity.
Market anomaly scanner and price-by-volume distribution via Longbridge Securities — `anomaly` lists unusual price/volume movements across a market (HK / US / CN / SG) or for a specific symbol; `trade-stats` returns a single stock's intraday price-volume profile (where volume sat in the day's range). Read-only. Triggers: "异动", "今天哪些股票异动", "市场异动榜", "成交分布", "价格分布", "筹码分布", "今日筹码", "成交密集区", "盘中异动", "拉升", "跳水", "閃崩", "異動", "今天哪些股票異動", "市場異動榜", "成交分佈", "價格分佈", "籌碼分佈", "今日籌碼", "成交密集區", "盤中異動", "拉昇", "跳水", "anomaly", "unusual movements", "intraday alerts", "volume spike", "price spike", "price by volume", "trade distribution", "volume profile", "VWAP zone", "where the volume sat", "TSLA anomaly", "700.HK anomaly".