489 skills (repositories by github) · sorted by popularity
Plan how Squad agents separate current tasks, summarized history, and lasting reference knowledge so each launch receives relevant context. The skill provides loading rules and prompt templates; the supporting runtime is still a design proposal.
Set up an AI agent team by proposing roles and names for a project, then creating shared team files after confirmation. Initialize member context, decision records, and logs so the team starts with a common project background.
Reduce GitHub API calls during issue monitoring by scanning basic issue details first, then fetching full descriptions and comments only for selected issues. Filters use assignees, status labels, and title patterns to narrow the list.
Manage work and personal GitHub identities in agent workflows by checking the active account and selecting credentials for each operation. It covers personal repository pushes, pull requests from forks, and separate configuration directories for account isolation.
Guides agents to record confirmed final outcomes in history.md and correct entries when decisions change. This keeps handoff records clear enough for future agents to understand what actually happened without checking other files.
Extend safe-output jobs, which execute agent-generated actions, to reference newly created issues through temporary IDs. The guide covers job dependencies, issue-number resolution, input validation, tests, and warning-based handling of unresolved references.
Keep tests aligned with API changes and actual project files. This skill guides agents to update related tests in the same commit, refresh expected counts and lists, and check stale assertions when automated checks fail.
Switch automatic model selection to lower-cost options for agent tasks, either for one session or through a saved setting. Explicit model choices remain in effect, while architecture and security review tasks use a separate economy selection.
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.
Find and start common Squad operations through a categorized menu. The coordinator guides users through team management, GitHub issues, plugins, model settings, and session history, collecting required details and confirming changes where the catalog requires it.
Choose how an AI team handles each task, from a direct coordinator answer to parallel work by several agents. Includes decision criteria, example requests, and a short assignment template for small tasks.
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.
Structure delegated agent tasks with clear goals, success criteria, and a three-attempt limit. Provides handoff templates and coordinator checks, plus rules for escalating unresolved work and turning research findings into concrete follow-up actions.
Draft and revise public replies to questions, bug reports, and community discussions. Use a warm, conversational tone while giving specific explanations, acknowledging uncertainty, asking focused follow-up questions, and making the next action clear.
Guide npm package releases through dependency checks, version alignment, publishing procedures, and post-release smoke tests, which are basic installation and operation checks. It also documents fallback steps for failed automation and project-specific rules about who initiates releases.
Guides Squad documentation writing and review using Microsoft Style Guide rules and project conventions. It covers clear English, consistent page structure, practical examples near the top, and matching test updates when documentation pages are added.
Document responses to GitHub pull request reviews by replying to each comment thread after fixes are pushed. Connect feedback to specific changes and commits, explain rejected suggestions, and selectively resolve automated review threads.
Convert SKILL.md files into SSL JSON, a structured format describing invocation conditions, workflow stages, and individual actions. Receive a validation report covering format errors, invalid references, and rejected outputs.
Prepare architecture proposals before implementation so the team can agree on a direction. Organize evidence, technical choices, effects on existing work, risks, and the first release’s scope into a document with clear recommendations and decision owners.
Add checks to npm release workflows for version formats, authentication tokens, delayed package availability, and draft releases. The skill also covers preventing build scripts from unexpectedly changing release versions.
Extract lessons from corrections, praise, and unexpected cases in conversations. Organize findings by confidence level and propose updates to individual agent histories or shared team decisions, with changes shown for approval before saving.
Set up separate commands for personal and work GitHub accounts on Windows. Detects accounts already signed in through GitHub CLI, asks which serves each role, creates PowerShell shortcuts and CMD wrappers, and verifies the selected usernames.
Manage rejected work in an AI team by assigning revisions to a different agent. Defines author lockouts, independent revision requirements, specialist escalation, and when the coordinator must ask the user to resolve a deadlock.
Find and select Squad operations through a categorized menu, from managing an AI team and GitHub issues to choosing models and reviewing activity. The skill collects required options and routes requests to CLI commands or the coordinator agent.