774 skills · sorted by relevance
Check whether a feature, fix, or refactor actually works using existing tests, build checks, direct commands, or manual validation. Get a concise account of the evidence, including what passed, what failed, and what remains unverified.
Turn support feedback or chat logs into a structured requirements document. Use numbered questions to clarify problems, goals, users, constraints, and open questions, then guide human review before handing approved requirements to development.
Configure OMC notifications for Telegram, Discord, or Slack through guided questions. Choose events such as session completion or requests for input, set destinations and mentions where supported, and optionally send a test message to check delivery.
Analyze corporate events in China's A-share market, including mergers, major shareholder transactions, equity incentives, and financing. Calculate acquisition price gaps, assess dilution and delisting risks, and organize event timing, signals, and risks into a report.
Send task updates, reminders, or results to an existing QwenPaw conversation or channel. The skill checks available sessions before choosing a recipient and sends a one-way notification without waiting for a reply.
Ask a more capable agent for a concrete execution plan for complex work. Request ordered steps, dependencies, checkpoints, and verification methods, then have the requesting agent assess the plan and carry out the work itself.
Send completion notices, alerts, status updates, or results to a user or existing conversation through qwenpaw. Look up the destination session before sending a one-way message; the send operation does not return a user reply.
Run performance improvements as a measured workflow in OMX and Codex goal mode. Define an evaluation command and success criteria, make small reversible changes, and retain evidence before declaring the work complete.
Configure OMX alerts for session events through Discord, Telegram, Slack, OpenClaw, or custom integrations. Choose notification events, adjust detail and idle intervals, and check configuration validity and delivery with the required tests.
Generate or modify images through the Luma AI API using Photon models. The skill gathers image descriptions and options, supports reference images for visual guidance, and uses a bundled Python script to wait for completion and download results.
Review signup and trial registration flows to identify obstacles to completion. The skill produces prioritized recommendations for fields, authentication, wording, and layout, plus measurement plans and A/B test ideas for checking proposed improvements.
Analyze Google Analytics traffic, visitor engagement, and conversions, such as purchases or goal completions. Compare periods, identify strong and weak pages or traffic sources, and receive prioritized recommendations with implementation guidance.
Manage a running task list in a gbrain page using stable IDs and four priority levels. Add, complete, defer, remove, or review tasks while recording completion dates and deferral reasons, and clarifying ambiguous task references before changes.
Deliver knowledge-page updates with links derived from Git paths and checked after pushing. Use defined alternatives for local repositories, rewrite paths relayed by other agents, and keep links between pages relative to preserve their connections.
Manage shell commands and AI agent tasks through a shared gbrain job queue. Track progress, steer agents, pause or resume work, and coordinate parallel tasks, with guidance for long operations, completion reporting, and reusable stage checkpoints.
Use the Dial CLI to send and receive SMS, place AI voice calls, and manage real phone numbers. It explains workflows for waiting for verification codes, checking completed calls, and processing command results.
Build a sprint plan around team availability, including time off and meetings. Define goals, prioritize backlog items, handle unfinished work, and document capacity, dependencies, risks, completion criteria, and key dates.
Run final checks on reviewed SDK changes, covering code formatting, linting for code issues, type checking, and tests. Confirm completion only after every required check succeeds, with wrappers for macOS, Linux, and Windows.
Turn a development goal into a focused ralph-loop command through conversation and codebase research. Define context, setup steps, ordered tasks, and testing criteria, then produce a complete command ready to copy.
Write and review asynchronous C++ networking code using Boost.Asio or standalone Asio. The skill selects an implementation style for the installed library and C++ version, then checks memory lifetimes, concurrent writes, error handling, and build settings.
Archive an OpenSpec change after checking its documents, task completion, and specification differences. The skill offers a choice about updating the main specifications, then moves the change into a dated archive and reports the result.
Implement pending tasks from an OpenSpec change, a planned set of development work. The skill reads relevant specifications and design files, makes focused code changes, and updates task completion as work progresses.
Archive several OpenSpec changes together after reviewing their documents, task completion, and specification conflicts. The agent checks actual code to decide which specification updates to apply, asks for confirmation, and reports successes, skipped changes, and failures.
Track work across sessions with persistent issues, dependencies, and progress notes. Use the bd command-line tool to find unblocked work, claim issues, record completion, and recover task context after conversation compaction.