1.4K skills · sorted by relevance
Build or extend an isometric action RPG, viewed from an angled overhead perspective, using web technology. Develop a playable loop covering movement, combat, rewards, progression, and saves, with staged implementation and release checks.
Prepare detailed 3D materials that remain clear in close-up views. The skill guides texture resolution, physically based material maps, surface mapping, filtering, and progressive loading while checking download size and GPU memory use.
Use the OpenServ Ideaboard API to find service ideas, register work in progress, and report completed implementations. It also covers proposing ideas, coordinating through comments, and sharing service URLs that accept payments through x402.
Build servers and clients for A2A, an open protocol that lets AI agents communicate across frameworks. Publish agent capabilities, exchange tasks and results, stream progress, and add notifications for workflows involving multiple agents.
Connect AI agents to Mission Control through its API to register agents, retrieve assigned tasks, report progress, manage skills, and check agent or system status from scripts and automated workflows.
Plan substantial DeepChat changes with a written design proposal and a clear implementation path. Record decisions, track progress, review the completed change, and select focused validation for features, complex bugs, or architecture updates.
Start and monitor an Ouroboros development loop that revises project concepts and acceptance criteria, the conditions for judging completion. Run and evaluate successive generations, focus revisions on failed criteria, inspect progress, or rewind to an earlier generation.
Turn a Seed specification into GitHub issues for team planning. The skill creates a parent issue and implementation tasks, distributes acceptance criteria across them, and links the tasks in a progress checklist.
Check an Ouroboros execution session’s status and progress, and optionally compare its current output with the original Seed specification. The drift report explains goal deviations and suggests whether to continue, evaluate, or reconsider the direction.
Work through repeated failed fixes or difficult technical choices using five perspectives: practical action, missing information, simplification, architecture, and challenged assumptions. Compare alternatives and disagreements, then receive a recommendation while keeping the final decision with the user.
Save an unfinished session as a timestamped Markdown handoff. Capture changed files, decisions and their reasons, current progress, blockers, and ordered next steps so work can resume later or continue in another Claude instance.
Update a session handoff document while preserving completed work history. Add newly touched files and findings, replace the current status and next steps, and create a new document when no existing handoff is identified.
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.
Keeps multi-step work organized with Markdown files for the plan, research notes, and final deliverable. Tracks completed phases, decisions, and errors so the agent can revisit goals and resume work with durable records.
Build workflows with Vercel's Workflow DevKit that preserve progress and resume after restarts. Structure operations as persistent steps, wait for external events, retry temporary failures, and inspect runs to understand how a process is progressing.
Guides communication in Matrix agent teams by choosing recipients, rooms, and when to mention someone. It covers task notifications and progress reports, helping agents avoid duplicate assignments and send concrete updates to the appropriate requester.
Carry out assigned work as a Worker agent, from acknowledging the task to submitting a structured result. Keep deliverables in the task directory, record progress, request decisions when blocked, and publish results to the Task room.
Manage an AI team's project plans and recorded progress, including task dependencies and repeated improvement cycles. Track accepted results, identify work ready to start, pause or resume projects, and prepare status reports for requesters.
Find interrupted Copilot CLI sessions in stored history, review conversations, checkpoints, files, and linked issues or pull requests, then resume unfinished work with the context needed to understand where it stopped.
Validate changes to Squad coordinator and agent templates through real sessions using a locally built CLI. Check generated files, agent behavior, and saved state, then record evidence, scenario verdicts, and progress for pull request reviews.
Publish gh-aw changes as a draft pull request from a GitHub Copilot cloud agent. The workflow checks repository templates, runs required local validation, commits and pushes through runtime tools, and records the validation results in the PR.
Draft internal communications such as progress reports, leadership updates, company newsletters, FAQs, and incident reports. The skill selects guidance for the communication type and follows its instructions for format, tone, and information gathering.
Record pushup and squat repetitions in Peon Trainer by telling the agent the exercise and count. It reports the updated total, plays a trainer voice line, and can check your progress after logging.
Build interactive React cards and forms from JSON commands sent by an AI agent. Using @ant-design/x-card and A2UI, a protocol for describing interfaces, this skill covers data binding, user actions, custom components, and progressive rendering.