Loading...
Loading...
Found 1,979 Skills
KurocoのSmartyプラグイン・構文リファレンスおよびWebhook・バッチ処理・自動化のベストプラクティス。使用キーワード：「Smartyプラグイン」「Smarty関数」「Smarty修飾子」「Smarty構文」「テンプレート関数」「assign」「foreach」「if」「escape」「date_format」「truncate」「api_internal」「sendmail」「slack_post_message」「fileupload」「rcms_vue_component」「translate」「pager」「rcms_auth」「login」「logout」「ai_completion」「write_file」「put_file」「json_encode」「変数代入」「ループ処理」「条件分岐」「文字列操作」「日付フォーマット」「ファイル操作」「API呼び出し」「メール送信」「Slack通知」「Vue連携」「認証」「ページネーション」「$smarty変数」「セキュリティ設定」「IF_FUNCS」「MODIFIER_FUNCS」「capture」「literal」「section」「Webhook」「バッチ処理」「定期実行」「スケジュール実行」「cron」「15分毎」「1時間毎」「外部連携」「GitHub Actions」「repository_dispatch」「workflow_dispatch」「Slack通知」「slack_send」「Chatwork」「chatwork_send」「メール通知」「send_mail」「SendGrid」「sendgrid_send」「自動処理」「api_request」「外部API」「トリガー」「前処理」「後処理」「Function」「カスタム処理」「CSV出力」「topics変数」「inquiry変数」。Smartyテンプレートの構文・プラグイン、定期実行、外部通知、トリガー処理に関する質問で使用。
Build chat interfaces for querying documents using natural language. Extract information from PDFs, GitHub repositories, emails, and other sources. Use when creating interactive document Q&A systems, knowledge base chatbots, email search interfaces, or document exploration tools.
This skill is used when the user requests 'review my prompt', 'analyze my conversation history', 'diagnose my understanding level', or when it is invoked via /prompt-review. It reads past AI Agent conversation histories (Claude Code, GitHub Copilot Chat, Cline, Roo Code, Windsurf, Antigravity), estimates the user's technical understanding level, prompting patterns and AI dependency, then generates a corresponding report.
Execute a micro-level NestJS code quality audit. Validates code against live GitHub standards for testing, architecture, DTO validation, error handling, and code implementation. Produces a detailed violations report with prioritized action plan. Use when the user asks to check NestJS code quality, validate best practices, or review backend code standards. Triggers on: 'nestjs best practices', 'backend code quality', 'code review', 'nestjs standards', 'dto validation', 'error handling review'.
Git branching strategies, conflict resolution, rebase workflows, monorepo patterns, and advanced operations like cherry-pick, bisect, and reflog recovery. Activate on "git", "branching strategy", "merge conflict", "rebase", "cherry-pick", "monorepo git", "git bisect", "git reflog", "squash commits". NOT for GitHub Actions CI/CD (use github-actions-pipeline-builder), GitHub API/webhooks, or PR review processes (use code-review-checklist).
Triage and fix failing Buildkite CI checks for RisingWave pull requests by extracting concrete failing tests, diffs, and error messages from Buildkite build/job logs and artifacts, then applying focused code or test fixes. Use when users ask to diagnose red Buildkite checks, investigate flaky/failing CI jobs, understand why a Buildkite build failed, or provide Buildkite/GitHub check URLs and want a concrete fix.
Sets up or repairs the AGENTS.md source-of-truth pattern for any project. Creates a well-structured AGENTS.md with real stack info auto-detected from the project, then wires all AI config satellites (.claude/CLAUDE.md, .github/copilot-instructions.md, .agents/rules/, MEMORY.md) to point to it. Eliminates duplication. Always runs in plan mode — asks before acting. Use this skill whenever the user mentions AGENTS.md, agent config, source of truth for AI rules, setting up Claude/Copilot/Cursor for a project, fixing duplicate AI instructions, or wants to consolidate AI configuration files. Trigger even if the user just says "set up agents" or "fix my AI config".
Connect Codex to any app via the Composio CLI. Send emails, create issues, post messages, update databases - take real actions across Gmail, Slack, GitHub, Notion, and 1000+ services from the terminal.
The PRIMARY development workflow for the Archon project (remote-coding-agent). Use this skill instead of any PRP skills when working on Archon code. Routes to 10 specialized cookbooks based on what the user is trying to do: RESEARCH — "how does the orchestrator work?", "where is session state defined?", "trace the workflow execution flow", "what is IWorkflowStore?" INVESTIGATE — "should we use Drizzle or Prisma?", "what's the best way to add WebSockets?", "can we migrate to Turso?", "how do other projects handle rate limiting?" PRD — "write a PRD for dark mode", "spec out the notification feature", "product requirements for webhook retry" PLAN — "plan the auth refactor", "design the caching layer", "create an implementation plan for #42" IMPLEMENT — "implement the plan", "execute .claude/archon/plans/auth.plan.md", "build the feature from the plan", "code this up" REVIEW — "review PR #123", "review my changes", "code review the diff" DEBUG — "debug the failing test", "why is streaming broken?", "root cause analysis on the timeout issue" COMMIT — "commit these changes", "commit the auth refactor" PR — "create a PR", "open a pull request for this branch" ISSUE — "report this to gh", "create a gh issue", "log it in github", "file a bug for this", "create a feature request" This skill triggers on ANY development task: researching, investigating, planning, building, reviewing, debugging, committing, or shipping code. NOT for: Running Archon CLI workflows in worktrees (use /archon instead).
Query APIs, files, and live sources using Coral SQL. Use when the user asks about data from GitHub, Slack, Linear, Datadog, Sentry, or other connected sources.
Give AI agents eyes to see the internet — scrape Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu with zero API fees
Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing academic-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.