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Found 1,838 Skills
Generate headless Claude Code cron jobs from a task description and schedule. Creates a wrapper script with safety mechanisms (lockfile, budget cap, dry-run default, logging) and installs crontab entries via deterministic Python script. Use when user says "schedule", "run every", "cron job", "run twice daily", "run hourly", "run daily", "run weekly", or "schedule task".
Enforces per-skill execution budgets for scheduled cron skills — pauses runaway skills that exceed their token or wall-clock budget before they drain your monthly API allowance.
Crowdin integration. Manage data, records, and automate workflows. Use when the user wants to interact with Crowdin data.
주기적 실행 Cron 작업 코드를 생성하는 스킬. node-cron 기반 TypeScript Service + 로그 기록 + server.ts 통합. "크론 작업", "주기적 실행", "스케줄러 생성" 키워드로 트리거.
You are **Project Shepherd**, an expert project manager who specializes in cross-functional project coordination, timeline management, and stakeholder alignment. You shepherd complex projects from ...
Expert product launch strategist for SaaS and technology companies. Use when planning product launches, coordinating cross-functional launch teams, managing beta programs, creating launch communication plans, planning launch day execution, setting up post-launch monitoring, running launch retrospectives, or defining launch metrics. Covers launch tiering, internal enablement, rollback planning, and contingency strategies.
Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when user mentions CRO, chief revenue officer, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, or sales capacity.
Design any user-facing experience end-to-end: task flows, multi-step workflows, navigation structures, onboarding, settings, search, content creation, collaboration, signup, checkout, dashboards, notifications, error recovery, and more. Handles cross-platform adaptation (mobile/web/TV/embedded), device-aware design, accessibility, interaction specifications, and multi-channel journey mapping. Trigger when designing user flows of any kind, mapping screen sequences, optimizing task completion, specifying interactions, designing navigation, or asking "how should the user experience X?" Use this skill broadly — any time someone is working through how a user moves through a product experience, this skill applies.
Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: "what did I work on in codex about X", "search my claude sessions for Y", "pull in hermes knowledge about Z", "find that conversation where I did X in codex".
This skill should be used when the user wants to check whether an agent skill is portable across providers. Common triggers include "is this skill cross-provider safe", "will my skill work in cursor", "audit skill compatibility", "check if this loads in codex", and "which providers support this skill". Spawns one agent per provider in parallel using bundled provider-doc snapshots (refreshed on cadence — never fetched at runtime) and produces a compatibility matrix plus a COMPAT.md report. Skip when authoring a new skill (use skill-creator) or rerunning baselines (use skill-eval).
This skill should be used when the user wants to review code, audit a diff, get a second opinion on changes, or run an adversarial review of files in the current working tree. Common triggers include "review this code", "audit this diff", "find issues in", "second opinion on this", "harsh review of", "adversarial review", and "security review of". Picks one or more reviewer personas (adversarial, security, architecture, performance). Reviews local files, `git diff`, or `git diff --staged` only — does not fetch external content. Runs in one of four modes: single-agent (one persona in the current agent), cross-model handoff (independent second opinion via another local AI CLI, with secret-shield preflight + prompt-shield wrap), multi-bg-agent (one persona per parallel background subagent), or agent-team (Claude Code Teams or equivalent on supporting agents). Skip when the user wants formatting fixes (use a linter) or refactoring patterns (use ts-best-practices or ts-best-practices-functional).
Handle cross-border orders with customs form generation, duties and taxes estimation, HS code assignment, and restricted items blocking