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Found 8,857 Skills
One-stop skill for the project architecture center — draft new architecture documents, refresh existing ones, or conduct an architecture health check. Automatically determine the mode based on user input: `new` (draft)/ `update` (refresh to latest code status)/ `check` (review without modification, generate issue list). The `check` mode has three sub-objectives: consistency within a single feature design, alignment between design and code, and consistency among multiple documents under `codestable/architecture/`. Single-target rule — only modify one document or check one target at a time. Trigger scenarios: User says "fill in an architecture doc", "draft an architecture document", "refresh the architecture directory", "write down this module structure", "conduct an architecture check", "is the design internally consistent?", "does the plan match the code?", "are there conflicts among several documents in the architecture folder?", or when an architecture action is required before proceeding during the feature-design / feature-acceptance / implement phases.
Enter this sub-process when conducting code optimization — handle tasks where 'behavior remains unchanged, structure changes' (structure / performance / readability). Shift single-module internal optimization from 'AI random refactoring' to 'first scan to generate a checklist, confirm each item with the user, execute step-by-step according to the method library, and require manual approval for each step'. Trigger scenarios: Users mention phrases like 'optimize it / refactor / rewrite / split it / poor performance / code is too long' without any accompanying behavior changes. Do not handle new requirements (route to feature), bugs (route to issue), or cross-module architecture restructuring (route to architecture + decisions).
Warms up TikTok accounts for Flooently + Blaze using Multilogin browser profiles. Use when running warmup sessions, creating new TikTok accounts, managing credentials, or reviewing session design. Triggers on /execute-warmups and any TikTok account management tasks.
Reset the FPF reasoning cycle to start fresh
Chrome extension for automating OpenAI OAuth registration flows with captcha retrieval, CPA callback verification, and auto-recovery across multiple rounds
Chatsonic integration. Manage Users, Chats, Images, Workspaces, Prompts. Use when the user wants to interact with Chatsonic data.
Write or regenerate a value-first pull-request description (title + body) for the current branch's commits or for a specified PR. Use when the user says 'write a PR description', 'refresh the PR description', 'regenerate the PR body', 'rewrite this PR', 'freshen the PR', 'update the PR description', 'draft a PR body for this diff', 'describe this PR properly', 'generate the PR title', or pastes a GitHub PR URL / #NN / number. Also used internally by ce-commit-push-pr (single-PR flow) and ce-pr-stack (per-layer stack descriptions) so all callers share one writing voice. Input is a natural-language prompt. A PR reference (a full GitHub PR URL, `pr:561`, `#561`, or a bare number alone) picks a specific PR; anything else is treated as optional steering for the default 'describe my current branch' mode. Returns structured {title, body_file} (body written to an OS temp file) for the caller to apply via gh pr edit or gh pr create — this skill never edits the PR itself and never prompts for confirmation.
Use this skill to turn a raw user request into a structured, model-agnostic task brief before execution, and — when the brief survives confirmation — to be the sole entry point that creates a task directory at `.agents/tasks/<task-id>/`. Invoke whenever the request is complex, multi-step, cross-domain, ambiguous, or will be handed off to another model or agent. Also trigger when the user says things like 'help me figure out what I need', 'I'm not sure how to ask this', 'I want to do X but I don't know where to start', 'take this and make it clearer', or when the task mixes multiple goals or domains. Do NOT trigger for simple one-line requests with clear intent (e.g., 'fix the typo on line 42', 'rename this variable').
Full task lifecycle: create → assign → monitor → review → reject/complete. Use when asked to "add a feature", "fix a bug", "create a task", "加个功能", "修个 bug", or "/ak-task <description>".
Display the current state of the FPF knowledge base
each::sense is the intelligent layer for generative media. A unified AI agent that generates marketing assets, ads, product images, videos, and creative content. It knows all AI models and automatically selects the best one for your task. Use for any creative content generation request.
Session wrap-up. Use when Ane types /wrap-up to close a session. Checks git, errors, and pending actions, delivers a concise status report, then commits and pushes any pending work.