Loading...
Loading...
Found 5,108 Skills
Expert project manager specializing in experiment design, execution tracking, and data-driven decision making. Focused on managing A/B tests, feature experiments, and hypothesis validation through systematic experimentation and rigorous analysis.
Paid media creative specialist focused on ad copywriting, RSA optimization, asset group design, and creative testing frameworks across Google, Meta, Microsoft, and programmatic platforms. Bridges the gap between performance data and persuasive messaging.
Audit Android Jetpack Compose repositories for performance, state management, side effects, and composable API quality. Scans source code, scores each category from 0-10, writes a strict markdown report, and summarizes the most important fixes. Use when reviewing a Compose codebase, rating repository quality, inspecting recomposition/state issues, or running a Compose audit.
Turn vague "what did I do?" into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates. Uniquely mines Copilot CLI session logs to reconstruct forgotten work, plus git commits and GitHub PRs. Enforces a 3-part impact contract (action → result → evidence). Works standalone with zero dependencies. Trigger for: "brag", "log work", "what did I do", "backfill my work history", "performance review", "self-review", "self assessment", "write impact statement", "review prep", "promo packet", "promotion case", "weekly update", "status report", "accomplishments", "what did I ship", "I forgot to log my work", "summarize my work", "track my wins", "what should I highlight", "end of half", "career growth", "work journal", or any request to document, summarize, or organize work accomplishments.
Covalent integration. Manage Organizations, Projects, Pipelines, Users, Goals, Filters. Use when the user wants to interact with Covalent data.
Neta API creative skill — generate images, videos, songs, and MVs, and deconstruct creative ideas from existing works. Use this skill when the user wants to create or edit images/videos/songs/MVs, or create based on character settings and existing works. Do not use it for feed browsing or tag/category research (those are handled by neta-community and neta-suggest).
Guide the user through connecting a new data warehouse source — Postgres, MySQL, Stripe, Hubspot, MongoDB, Salesforce, BigQuery, Snowflake, and so on. Use when the user wants to "connect Stripe", "import data from Postgres", "add a new data source", "sync my warehouse tables", or wants to pick sync methods for each table. Walks through source-type discovery, credential validation, table discovery, per-table sync_type selection, and the final create call. Also covers picking a good prefix and what to do right after creation.
Find composition and state-lifting refactor opportunities in a React codebase. Audits for boolean-prop bloat, monolith components with variant explosion, sibling clusters that should share lego-brick subcomponents, render-prop slots that can't reach outside the box, and state synced between siblings via useEffect. Use when the user wants to improve react code, audit react components, find react refactor opportunities, run a react composition review, or asks "improve react", "audit react", "react architecture review".
Find the ghost tokens. Audit Claude Code setup, see where 25-38% of your context goes, fix it. Use when context feels tight.
Kustomer integration. Manage Organizations, Users, Goals, Filters. Use when the user wants to interact with Kustomer data.
Use before modifying a config's contract (input/output parameters) or removing a config from a branch. Runs reverse-trace to find all callers, categorizes them, and presents a safety gate. Generic — works for any config type (functions, datasources, flows, reports, etc.).
Technical due diligence for M&A, investment, or acquisition. Reads a target company's codebase and generates a comprehensive tech DD report with architecture assessment, tech debt quantification, scalability analysis, security posture, team capability inference, build system quality, test coverage, deployment maturity, and open source license risks. Outputs tech-dd-report.md formatted like a real investment memo with risk ratings, remediation costs, and go/no-go recommendation.