Generate images and videos with Wan27, discover available models, estimate credit costs, and retrieve generation results through its MCP tools or CLI. Use when the user chooses Wan27 or wan2-7.io for media creation or task tracking.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Review team page photos for differences in size, brightness, color, and background. Produce a list of photos to fix and shared photo guidelines, with optional exports using a consistent crop and size.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn a proven UGC video ad into a shot-by-shot script for your own product. Use when the user shares a TikTok, Reels or Shorts ad (link or transcript) and wants a version for their product, asks to "remix", "rewrite" or "copy the structure of" an ad, or needs a UGC script that is ready to film. Uses the free UGCfy AI MCP when it is connected; works from pasted ad text without it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Refresh a LinkedIn profile for a job search from the user's own resume — pick and check the profile photo, crop it locally to LinkedIn, Slack and GitHub sizes, and write a headline and About section grounded in the resume, then check that LinkedIn, GitHub and the resume tell the same story. Use when the user asks to "update my LinkedIn", "write my LinkedIn headline/About", "is this a good LinkedIn photo", "resize my headshot for LinkedIn", or shares a resume or profile photo for job-search feedback. Uses the free ProfessionalHeadshot.io MCP for official photo specs and photo scores when connected; works without it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Review and improve a dating profile on Tinder, Hinge or Bumble — rank the user's photos and pick the lead photo, check them against the app's official photo and AI-photo rules, then tighten the bio and suggest openers. Use when the user asks "which photo should be my first", "rate my dating photos", "can I use AI photos on Hinge/Bumble/Tinder", "fix my dating profile", or shares profile photos or a bio for feedback. Uses the free DatePhotos.AI MCP for official rules and photo scores when connected; falls back to a built-in checklist when it is not.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Research competitors’ live Meta and Google ads to identify opening hooks, offers, calls to action, and landing pages. Receive a sourced creative brief and up to three test ideas adapted to your product.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Look up people's LinkedIn profiles by URL with Datacircle, no markup, and manage the Datacircle balance and files. Use when the user gives LinkedIn profile URLs to enrich or research (a candidate, a customer, a person in their CRM), asks what their Datacircle balance is, or wants the co-op flat file.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user explicitly requests research with Baizhi Agent Toolkit. Discover the connected MCP tools and their current schemas, agree a request budget, and produce a sourced result without exposing credentials.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks about a US-listed company or the US market and wants sourced numbers, such as SEC filings and what a 10-K or 10-Q says, income statements and balance sheets, earnings call transcripts, insider or congressional trades, 13F institutional holders, short interest, stock prices, option chains, stock screens or macroeconomic indicators. Calls the Equibles MCP server.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Plan and improve email marketing with guidance on automated sequences, audience groups, copy, design, delivery problems, and measurement. Includes platform selection and agent-operated workflows that require human review and approval before sending.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Surface Claude's assumptions about a phase approach before planning
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Automatically advance to the next logical step in the GSD workflow
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Explore development ideas through probing questions before turning them into plans. The skill can initiate research when needed and route the results into GSD notes, tasks, research questions, requirements, or new phases.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Interactive command center for managing multiple phases from one terminal
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Clarify implementation choices before planning through focused questions, existing project context, and codebase exploration. Record decisions in a context file that guides subsequent research and planning, with options for automatic defaults or answering questions in a file.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
List active GSD workspaces and their status
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Triage and review all open GitHub issues and PRs against project templates and contribution guidelines
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Systematic debugging with persistent state across context resets
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Scan a repo for mixed ADRs, PRDs, SPECs, and DOCs and bootstrap or merge the full .planning/ setup from them. Classifies each doc in parallel, synthesizes a consolidated context with a conflicts report, and routes to new-project or merge-milestone depending on whether .planning/ already exists.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Query, inspect, or refresh codebase intelligence files in .planning/intel/
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate a comprehensive project summary from milestone artifacts for team onboarding and review
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build, query, and inspect the project knowledge graph in .planning/graphs/
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Retroactively audit an executed AI phase's evaluation coverage — scores each eval dimension as COVERED/PARTIAL/MISSING and produces an actionable EVAL-REVIEW.md with remediation plan
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.