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Found 2,745 Skills
Adversarial thinking partner for founders and executives. Stress-tests plans, prepares for board meetings, dissects decisions with no good options, forces honest post-mortems, and identifies blind spots before competitors or board members do. Use when you need plan validation, board preparation, hard decision frameworks, assumption stress-testing, failure analysis, or when user mentions stress test, challenge, board prep, hard decision, pre-mortem, post-mortem, devil's advocate, plan review, or executive coaching.
Provides a structured workflow for migrating an Android XML View to Jetpack Compose. This skill details the step-by-step process, from planning and dependency setup, to theming and layout migration, validation and XML cleanup. Use this skill when you need to migrate an XML View to Jetpack Compose in an Android project. It solves the problem of converting the UI of a legacy XML View into modern, declarative Compose components while maintaining interoperability.
Educational techniques to assess honeypot-style token risk from verified source, bytecode clues, and observational on-chain history—EVM ERC-20 patterns (transfer gates, fees, blacklists), Solana SPL and Token-2022 hooks, and safe validation paths. Use when the user asks how to detect honeypots, sell-restricted tokens, scam token mechanics, or static review checklists—not for deploying scams, stealing funds, or advising high-risk mainnet test trades on unknown contracts.
Expert Mermaid diagram creation, validation, and rendering with dual-engine output (SVG/PNG/ASCII). Supports all 20+ diagram types including C4 architecture, AWS architecture-beta with service icons, flowcharts, sequence, ERD, state, class, mindmap, timeline, git graph, sankey, and more. Features code-to-diagram analysis, batch rendering, 15+ themes, and syntax validation. Use when users ask to create diagrams, visualize architecture, render mermaid files, generate ASCII diagrams, document system flows, model databases, draw AWS infrastructure, analyze code structure, or anything involving "mermaid", "diagram", "flowchart", "architecture diagram", "sequence diagram", "ERD", "C4", "ASCII diagram". Do NOT use for non-Mermaid image generation, data plotting with chart libraries, or general documentation writing.
Generate standardized enterprise product prototypes from business requirements, prototype references, `.pen` files, HTML mockups, or design files. Defaults to Element Plus-style admin UI, supports query/add/edit/delete state pages, right-drawer workflows, full-page overlays, true table structures, pagination, business logic notes, and page-state consistency validation. Use when building or normalizing backend management prototypes with Pencil MCP.
PR-backed and current-main optimization manual for `moonshotai/Kimi-K2*` and `moonshotai/Kimi-K2.5*` in SGLang. Use when Codex needs to recover, extend, or audit Kimi optimizations, including K2 router/MoE fast paths, K2 thinking Marlin paths, K2.5 wrapper/multimodal/runtime plumbing, W4AFP8/W4A16 quant tracks, parser contracts, LoRA coverage, and backend-specific validation.
Scans code for error handling and resilience issues — swallowed exceptions, missing try/catch on external calls, unhandled promise rejections, missing transactions, validation gaps, retry/timeout omissions, and logging blind spots. Generates severity-scored findings with copy-pasteable fix prompts. Trigger phrases: "error handling check", "exception audit", "resilience check", "try/catch review", "error handling audit".
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).
This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library installation, and structuring notebooks for clarity. It also covers specific rules for data cleaning, plotting, and integrating with BigQuery SQL and machine learning workflows. Relevant when any of the following conditions are true: 1. The user request involves a data analysis, data exploration, data visualization, or data insights task that requires multiple steps, queries, or visualizations to answer. 2. The user explicitly requests a notebook (.ipynb). 3. You are creating, editing, or executing cells in a Jupyter notebook. 4. You need to query BigQuery from within a notebook. DO NOT use the Python BigQuery client library; instead, you MUST use the `%%bqsql` magics explained in this skill.
Build or modify reusable registry content for board designers. Use when fulfilling a librarian request or when asked to add/fix a registry component, symbol, footprint, STEP model, datasheet, family selector, or datasheet-backed Zener reference circuit. Covers artifact import, symbol/footprint cleanup, package structure, sourceability, and validation.
Autonomous rule adherence checker. Scans the codebase for rule violations, fixes the highest-impact ones in an isolated worktree, runs full validation, creates a PR. Uses memory to track progress across runs.
Security review and penetration testing: evaluate your application against OWASP Top 10, authentication security, HTTP headers, CORS, CSP, supply chain risks, and common attack vectors with browser-based validation.