Scan dan rapikan file yang salah tempat — pindahkan file ke folder yang sesuai berdasarkan ekstensi.
Proje dosyası sisteme yüklendiğinde otonom başlatma süreci. Repo araştırması yapar, mimari gereksinimleri belirler ve diğer uzman ajanları (Infra, Pipeline, FinOps, SRE)…
Quick-capture raw text, a URL, or conversational content into a classified vault note — no interactive prompts.
Autonomous multi-agent coding with git worktree isolation, QA validation, and memory. Use for complex features requiring autonomous implementation.
Kod yazıldıktan veya değiştirildikten sonra otomatik kalite kontrolü yapar. Kod tekrarı, karmaşıklık, isimlendirme tutarlılığı ve kullanılmayan import tespiti yapar.
Autonomous multi-session feature development framework. Use when the user wants to systematically implement features from a specification, track progress across sessions, and…
사용자가 지시한 작업을 실행한 후 자동으로 git commit & push. "자동 커밋", "auto commit", "실행하고 커밋" 요청에 사용.
끊김 없는 자율 루프. Claude는 Stop 훅, Codex는 notify 자동 재개로 AI가 작업을 끝까지 완수하도록 강제합니다. FIND → FIX → VERIFY 사이클을 반복하며, --max-iterations와 --completion-promise로 제어합니다. /chronos 또는 /loop로 실행.
Use smartcrop when an agent needs to choose a sensible crop automatically instead of center-cropping every image.
System prompt for automated PR description generation. Used by the runtime module.
Automatically write daily/weekly/monthly diary summaries and extract insights to auto-learn.md for HexaLoop.
Thư ký Pháp lý AI. Tự động trích xuất 8 trường thông tin để tạo hợp đồng lao động (.docx) phân loại theo phòng ban và tự động gửi email đính kèm file.
Generate comprehensive documentation from codebase analysis - creates README sections, API docs, migration guides, and examples from code — from general/automation
Выборочно обновляет документацию после любых изменений кода. Вызывать всегда после правок кода или функциональности.
Automatic documentation generation — data dictionaries, dataset READMEs, transform docstrings, and pipeline changelogs.
Autonomously drive vibix work end-to-end — pick an unblocked issue, plan it, implement, push a PR, resolve CI and review-bot feedback, merge when green, then repeat.
Continuously monitors system performance identifies improvement opportunities and orchestrates find-skills and create-skills to autonomously evolve capabilities.
Fix a reported bug end-to-end: reproduce it, add a regression test, implement the minimal fix, create a new git branch, commit using Conventional Commits, push, and open a GitHub…
Bound and de-risk a request into SPEC.md. Use when the objective is clear but scope needs constraining.
Database-backed model configuration with static fallback for this project. Hook-based reactive queries (useModels, useModel), static sync helpers, AUTO_MODEL injection, type depth…
Use right after fixing any bug or discovering a reusable pattern. If it could bite again on different work, auto-add it to CLAUDE.md or .adn/lessons.md in the same response,…
Scan dan hapus file tidak penting — temp, junk, cache, log, kosong, duplikat — dari folder tertentu.
Sets up, structures, and auto-improves AGENTS.md files for coding agent projects. Bootstraps new AGENTS.md with self-improvement meta-rules, structures sections for clean rule…
CCv2 inicjalizacja trybu auto - wywiad + CONTINUITY + VALIDATION. Triggers: auto-init, auto init, inicjuj auto, plan auto — from general/automation
Fully autonomous issue-to-PR workflow for Rollercoaster.dev-mobile. Use when a worker should execute one issue end-to-end without human gates.
Automated job searching from Dice/Indeed MCPs + 6 ATS API clients (Greenhouse, Lever, Ashby, Workable, SmartRecruiters, BambooHR) with priority-based source allocation,…
Use when invoking auto-launched Flows from Apex (Flow.Interview), from external systems via REST API, from Platform Events, or from other Flows (subflow element).
Fully autonomous nightly learning pipeline — self-scan, pattern extraction, knowledge update, skill refinement, and auto-commit without human intervention.
Drive a large body of work end-to-end — either from a single scoping issue or a fuzzy topic ("ship GA", "harden the review app") — by discovering scope in the backlog + codebase,…
Automatisch converteren van geüploade .docx en .pdf bestanden naar markdown (.md) voordat ze gelezen worden.
Automatically converts markdown content into images for sending. When it's necessary to return markdown content to the user, md2img is automatically invoked to generate images…
Gate every tool call in the auto-memory extract agent so only safe read-only actions and targeted writes execute.
Merge an existing PR after rebasing, running review-pass, ensuring CI passes, and addressing review comments.
Sharpen a vague idea into a bounded objective. Use before framing when scope is undefined.
使用 auto-run-agent 对目标项目进行自动化分析、评估、设计和优化。完整流程包括：探索项目现状 → 识别问题 → 设计任务列表 → 创建 runner 环境 → 启动自主执行。适用于任何需要批量优化的项目。
Iteratively auto-optimize a prompt until no issues remain. Uses prompt-reviewer in a loop, asks user for ambiguities, applies fixes via prompt-engineering skill.
Automatically activates when detecting complex, multi-task requests that would benefit from parallel execution.
仓库 Markdown/JSON 内容自动同步到前端页面，配置 GitHub Actions 定时拉取 + 部署，保持 Google SEO 内容新鲜度。支持日报、博客、Changelog、Landing Page 等多种页面模式。
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer…
Fuehrt einen repo- und policy-bewussten Delivery-Workflow fuer bestehende Code-Aenderungen aus: Zustand erfassen, passende lokale Checks auswaehlen, selektiv committen, pushen,…
Generate W3C PROV-compliant provenance records automatically when agents create or modify artifacts
Multi-platform video auto-publisher. Automatically upload videos to Douyin, WeChat Channels, Xiaohongshu, Bilibili, YouTube and more.
study 仓库 v3 自驱式批量写笔记系统。一次启动后主 CC 用 ScheduleWakeup 自循环：每 round 跑 ~8-120 slug 多阶段 pipeline → cherry-pick → finalize-round → push → wakeup 60s → 醒来读 checkpoint 启下一 round。直到 written ≥…
QAMESH project QA mesh — auto qa init/plan/run/explore/release/evidence/feedback guidance
Detect repeated workflow patterns and auto-generate reusable skills from them. Analyzes tool operation logs to identify automation opportunities.
Trigger a plugin refresh cycle whenever reconciliation installs new marketplaces so plugin state stays in sync.
リポジトリの repo-level バージョン（v タグ）を自動判定して発行し、GitHub Release を作成する。ユーザーが「リリースして」「バージョン上げて」「タグ切って」「/auto-release」と言ったら起動する。
Autonomous reply to X/Threads comments. Smart detection, templated responses, engagement automation.
Your agent always comes back. Anchor identity and memory on-chain so any new instance can resurrect from just an address — no local state, no single point of failure.
Recover active change and next action from artifacts. Use on fresh session with existing work.
Automatically assign roles on join, or let users pick roles via reaction/button menus. Use when asked for auto-role, self-assign roles, reaction roles, or role menu.
Routage automatique vers le modèle optimal selon le type de question (local gratuit vs API payant)
Auto router patterns for this project. Intelligent model selection via task classification, cost tier diversity, high-stakes override, weighted tier selection.
Automatically save session tips when user provides important feedback or corrections
Scan folder untuk deteksi file tidak penting (sampah, temp, duplikat) dan file yang salah tempat berdasarkan ekstensi.
Meta-skill tổng: Tự động phân tích yêu cầu → quét skill local → tìm trên skills.sh → đánh giá chất lượng → cài đặt hoặc tự build skill mới hoàn chỉnh.
Proactively discovers, ranks, and installs high-value ClawHub skills by mining unresolved user needs and agent context.
Show current auto session status, progress, and any pending gates. Activates for: auto status, auto status, session status, check auto.
Auto-generated skill from cross-repo pattern - Pattern detected in 19 repositories
Automatically update GitHub Issue status to the next stage (Todo→In Progress→Done) in all linked projects.