Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
45,100 skills from 2,196 repositories · updated 2 hours ago
2,564 skills
- dreamtranhieutt/software_development_departmentConsolidates and prunes the memory directory through a 4-phase reflective pass: Orient, Gather, Consolidate, Prune. Run after intensive sessions, when memories feel duplicated, or when MEMORY.md approaches the 200-line limit.ProductivityNo warnings★ 74↓ —
- hotfixtranhieutt/software_development_departmentExecutes a hotfix workflow: creates a hotfix branch, applies the targeted fix, runs verification, and prepares release artifacts. Use when a critical production bug needs immediate patching or when the user mentions hotfix or emergency fix.ProductivityNo warnings★ 74↓ —
- notionmagnus919/agent-skillsOperate Notion from a terminal or agent: retrieve pages, query databases, search pages and databases, and update page properties — with a bundled notion-cli script that is read-only by default and gates every create or update behind a --dry-run/--yes confirmation. Use when an agent needs to read Notion content, answer questions from a team wiki or database, or make a confirmed edit. Do not use for building Notion integrations or block-level page composition beyond property updates (that is Notion API application development), or for other knowledge bases (that is their own tooling).ProductivityNo warnings★ 149↓ —
- wiki-queryvanillaflava/llm-wiki-skillsAnswer a question using the compiled wiki knowledge base, synthesising a response with [[wikilink]] citations. Always use this skill when the user says /wiki-query, 'what does my wiki say about', 'what do I know about', 'check my notes on', 'search my wiki for', or 'what's the current state of [topic] in my notes'. Also use when the user asks a question and signals they want to draw on their own accumulated knowledge rather than general knowledge - phrases like 'what have we worked on regarding', 'based on my notes', 'what's my thinking on', or any question where the answer should come from personal knowledge rather than the model. Optionally files valuable answers as new wiki pages. When in doubt whether personal knowledge retrieval is being requested, use this skill. Requires filesystem read access.ProductivityNo warnings★ 70↓ —
- privesc-winpale-knight/redteam-skillWindows local privilege escalation from a low-privilege shell to Administrator or SYSTEM. Covers quiet vs loud enumeration, SeImpersonate/Potato family including LocalPotato, token privileges (SeBackup/SeRestore/SeManageVolume/SeLoadDriver/SeDebug), service/DLL/COM/scheduled-task abuse, AlwaysInstallElevated and UAC boundary, KrbRelayUp-style domain-joined local admin, and version-gated kernel LPE. Use when the operator already has a Windows foothold and needs local SYSTEM. Endpoint blocks hand off to /edr-bypass then return here.ProductivityNo warnings★ 51↓ —
- task-schedulingproyecto26/system-design-skillsThis skill should be used when the user designs a "task scheduler", "job scheduler", "job queue", "cron at scale", "distributed cron", "delayed / scheduled / recurring tasks", a "worker pool", reaches for "Celery / Sidekiq / Airflow", or wrestles with "task leasing", visibility timeouts, job priorities, fairness, or duplicate task execution. Use it whenever work must run later, on a schedule, or be reliably leased to a pool of workers, even if the user doesn't say "scheduler". (For plain queue transport and delivery guarantees, that is `messaging-streaming`.)ProductivityNo warnings★ 97↓ —
- atprotoingoaustegard/claude-skillsRead Bluesky/ATProto without depending on Bluesky's AppView — interactions on a user's posts, thread replies, any repo's records, network-wide backlinks across every lexicon, an account's handle and PDS history, which collections are active network-wide, and layer-by-layer outage diagnosis. Use when bsky.app or the AppView is down or slow, when a Bluesky read returns timeouts or 5xx, when asked who liked/replied/quoted/reposted something, when pulling live Bluesky context cheaply, when reading records straight from a PDS, when asked who references a record or account anywhere on the network, whether an account has changed handle or migrated servers, or which lexicons and non-Bluesky apps are active on atproto. Complements browsing-bluesky, which routes everything through the AppView and fails when it does.ProductivityNo warnings★ 155↓ —Also in 1 other repo
- session-contextpskoett/pskoett-ai-skills[Beta] Retrieves task-relevant prior sessions and returns a short, cited brief of decisions, corrections, failed approaches, and unresolved work. Use after the initial intent frame and before finalizing the approach, when asked to find related work, or when a concrete history gap could change the approach.ProductivityNo warnings★ 324↓ —Also in 1 other repo
- learning-aggregatorpskoett/pskoett-ai-skills[Beta] Cross-session analysis of accumulated .learnings/ files. Reads all entries, groups by pattern_key, computes recurrence across sessions, and outputs ranked promotion candidates. This is the outer loop's inspect step — it turns raw learning data into actionable gap reports. Use on a regular cadence (weekly, before major tasks, or at session start for critical projects). Can be invoked manually or scheduled.ProductivityNo warnings★ 324↓ —Also in 1 other repo
- context-decaypskoett/pskoett-ai-skillsRevalidate persistent agent knowledge by classifying why it can become stale and how quickly it changes, then retain, revise, externalize, or retire it. Use when reviewing skills, stored instructions, facts, preferences, assumptions, or workflows; when an owner, decision, or dependency changes; or when self-improvement captures, reviews, or promotes a learning. Works independently of self-improvement. Not for runtime context-window degradation, unsaved task observations, or age-based deletion.ProductivityNo warnings★ 324↓ —
- handoffJasonxzWen/harness-hubLoad when a task needs to hand off current work, compact a conversation for another agent/session, or create restart notes; do not load for visual HTML repo reports.ProductivityNo warnings★ 71↓ —
- todopostmelee/hyper-waterfall하이퍼-워터폴의 오늘할일 보드(`mydocs/orders/yyyymmdd.md`)를 작성·갱신한다. 마일스톤별 표 형식, 상태 갱신, 백로그 섹션 작성 규칙을 적용한다. task-start, task-stage-report, task-final-report, pr-merge-cleanup 절차에서 오늘할일을 갱신할 때도 본 SKILL의 형식을 따른다.ProductivityNo warnings★ 82↓ —
- task-registerpostmelee/hyper-waterfall하이퍼-워터폴 작업에서 아직 GitHub Issue가 없는 신규 타스크를 등록한다. 열린 milestone과 기존 label을 조회해 후보를 고르고, 이슈 생성 전 작업지시자 확인을 받은 뒤 GitHub Issue 번호를 만든다. 이슈 생성 후 브랜치/오늘할일/수행계획서는 task-start 절차로 넘긴다.ProductivityNo warnings★ 82↓ —Also in 1 other repo
- todopostmelee/hyper-waterfall하이퍼-워터폴의 오늘할일 보드(`mydocs/orders/yyyymmdd.md`)를 작성·갱신한다. 마일스톤별 표 형식, 상태 갱신, 백로그 섹션 작성 규칙을 적용한다. task-start, task-stage-report, task-final-report, pr-merge-cleanup 절차에서 오늘할일을 갱신할 때도 본 SKILL의 형식을 따른다.ProductivityNo warnings★ 82↓ —
- mcp-builderskillmds/skillmdCreate MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.ProductivityNo warnings★ 190↓ —
- task-registerpostmelee/hyper-waterfallRegister a new task that does not yet have a GitHub Issue in the Hyper-Waterfall workflow. Query open milestones and existing labels, choose candidates, confirm with the task requester before creating the Issue, then create the GitHub Issue number. After Issue creation, hand off branch, daily task board, and task plan work to task-start.ProductivityNo warnings★ 82↓ —
- todopostmelee/hyper-waterfall创建并更新 Hyper-Waterfall daily task board（`mydocs/orders/yyyymmdd.md`）。 应用 milestone table format、status update rules 和 backlog section rules。 当 task-start、task-stage-report、task-final-report 或 pr-merge-cleanup 更新 daily task board 时，遵循此 SKILL 的格式。ProductivityNo warnings★ 82↓ —
- task-startpostmelee/hyper-waterfallApply the Hyper-Waterfall task start procedure. Confirm the GitHub Issue, update {BASE_BRANCH}, create local/task{N}, add a daily task board row, and create the task plan template. Use before starting new code or documentation changes.ProductivityNo warnings★ 82↓ —
- task-stage-reportpostmelee/hyper-waterfall하이퍼-워터폴 타스크의 단계 종료 절차를 적용한다. 단계별 완료 보고서(`_stage{N}.md`) 작성, 단계 소스와 보고서 묶음 커밋, 단계 검증 명령 실행을 수행한다. 한 단계가 끝나고 다음 단계 진입 직전에 호출.ProductivityNo warnings★ 82↓ —Also in 1 other repo
- pr-merge-cleanuppostmelee/hyper-waterfallApply cleanup after confirming a PR merge. Close the GitHub Issue, delete the remote publish/task{N} branch, clean up the local local/task{N} branch and separate worktree, and return to {BASE_BRANCH}. Invoke only after the PR is actually merged.ProductivityNo warnings★ 82↓ —
- task-registerpostmelee/hyper-waterfall在 Hyper-Waterfall workflow 中注册一个尚无 GitHub Issue 的新 task。 查询 open milestones 和 existing labels，选择候选， 创建 Issue 前与任务请求者确认，然后创建 GitHub Issue number。 Issue 创建后，将 branch、daily task board 和任务计划书工作交给 task-start。ProductivityNo warnings★ 82↓ —
- pr-merge-cleanuppostmelee/hyper-waterfall在确认 PR merge 后应用 cleanup。 关闭 GitHub Issue，删除远程 publish/task{N} branch， 清理本地 local/task{N} branch 和 separate worktree，并返回 {BASE_BRANCH}。 只在 PR 实际 merge 后调用。ProductivityNo warnings★ 82↓ —
- task-startpostmelee/hyper-waterfall하이퍼-워터폴 타스크 시작 절차를 적용한다. GitHub 이슈 등록 확인, {BASE_BRANCH} 최신화, local/task{N} 브랜치 생성, 오늘할일 항목 추가, 수행계획서 템플릿 생성을 수행한다. 새 코드/문서 변경을 시작하기 전 진행 단계 정렬 용도.ProductivityNo warnings★ 82↓ —Also in 1 other repo
- meta-harness-proteus001TMF/harness-forgeRun one iteration of proteus memory-summary evolution. Called by meta_harness.py.ProductivityNo warnings★ 81↓ —