2.2K skills · sorted by relevance
Turn a feature request into a minimal implementation plan before coding. Identify which files need changes, explain why, define the smallest required interface, and flag broader effects or expanded permissions for the implementer.
Manage Flow Nexus accounts, isolated cloud environments for running code, and application deployment. The skill also covers publishing templates, tracking credits and payments, submitting coding challenges, managing stored files, and checking execution logs.
Open a running local app in Design to compare routes and screen sizes, collaborate on visual changes, and hand those changes to a coding agent for application to the source.
Organize large coding tasks with Claude Fable directing lower-cost subagents. Delegate bounded research, edits, and tests, then have Fable verify evidence, resolve conflicting findings, integrate changes, and review the final result.
Browse and install pixel art pets with the Petdex CLI, a command line tool. Submit your own artwork with a chosen license, or update descriptions and sprite images for pets you own.
Delegate a self-contained coding task to Codex CLI from another agent using ChatGPT subscription authentication. Run independent implementation, request a second opinion, or verify changes, with separate working copies for parallel tasks.
Compare text and metadata extracted by two Tika builds from the same file collection. Generate reports to investigate content differences, encoding changes, new exceptions, and missing embedded documents, then repeat the evaluation after fixes.
Query the H2 database created by tika-eval to get counts and comparisons missing from standard reports. Includes connection guidance and SQL examples for comparing extracted text, tracking encoding changes, and joining related file records.
Coordinate parallel coding agents by specifying where shared types are defined and requiring reuse of existing definitions. Prompt templates add searches before creating types and TypeScript checks before completion to catch conflicting definitions and type errors.
Handle encoded strings and cryptographic data with tool-based conversions. Decode layered formats, calculate hashes, encrypt or decrypt with AES and RSA, and inspect JWT tokens, which carry encoded headers and data used in authentication.
Find relevant references for CTF miscellaneous challenges, including restricted execution environments, layered encodings, hidden data in media, and game or virtual machine analysis. It also covers CTFd platform operations and Linux privilege escalation.
Develop healthcare prediction models from electronic health records and physiological signals. Use PyHealth to prepare data, train models for tasks such as mortality or readmission prediction, and evaluate accuracy, fairness, and how predictions can be explained.
Build tests with fast-check for TypeScript and JavaScript or Hypothesis for Python. Generate varied inputs to check rules code should always satisfy, discover edge cases, and simplify failing inputs into small examples for debugging.
Evaluate code generation models with HumanEval, MBPP, and multilingual benchmarks. The skill guides test execution and model comparisons using pass@k, an estimate of whether at least one of k generated solutions passes the tests.
Write Python tests with Hypothesis that generate varied inputs and check properties, rules that should always hold. Discover edge cases, reduce failures to simpler examples, and save failing inputs for replay alongside conventional tests.
Turn a coding request into a concise, ordered plan after reviewing project documentation and relevant files. The result defines scope, lists concrete actions, and includes validation, risks, and unresolved questions without changing files.
Record a user's preferences, background, and goals in topic-specific Markdown files for personalized interactions. Keeps facts concise, updates corrected information, and distinguishes the user from the agent by writing in the third person.
Helps an AI coding assistant answer NemoClaw installation, configuration, operation, and troubleshooting questions using official documentation. It finds relevant pages through MCP, a documentation connection, or Markdown files, then tailors guidance to the selected agent and environment.
Preserve coding-agent progress in readable session files, including goals, decisions, changed files, and next steps. Helps resume long-running work after disconnects or editor restarts and gives another agent concise handoff instructions.
Install, repair, or inspect NVIDIA Video Codec SDK and PyNvVideoCodec on Jetson. Verify readiness with official samples that encode and independently decode one frame, and report what passed, what failed, and the next action.
Stop coding agents from shipping generic UI. Use UIZZE's 800,000+ real web and iOS screens to build product-specific interfaces, define a design contract, cover required states, and run a hard finish gate. Use for web or iOS UI design, implementation, redesign, critique, and pre-ship review in Codex, Claude Code, Cursor, Copilot, and other coding agents.
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Plan, delegate, review, and recover coding-agent implementation work with tight scope control, acceptance criteria, and validation.
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[omh] Live view of running coding units: showing which coding units are running right now, on which runtime and model, with observed tokens and elapsed time. Use when the user says: running-work-board, running work board, which units are running, what models are running, 지금 뭐 돌고 있어, 뭐가 돌고 있어, 어떤 모델로 돌고 있어, 실행 중인 작업 보여줘.
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[omh] Unsure whether Codex or Claude Code is ready: executor runtime readiness - compare Codex, Claude Code, Hermes coding, and oh-my runtimes by tools and handoff mode; use external-connector-readiness for a named plugin or API, and toolbelt-readiness for the whole capability inventory. Use when the user says: executor-runtime-readiness, executor readiness, runtime readiness, codex readiness, claude code readiness, hermes coding readiness, executor tools, missing tools.
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