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Activates for qualitative data analysis, including interview transcripts, field notes, and open-ended survey responses. It handles structured summarization, thematic coding, cross-case analysis, and evidence retrieval, designed to overcome context-window limitations by working with compact summaries.

Reads and displays task execution history from crew-history.json with filtering by type, agent, cost, and configurable limits.

Structured post-conversation extraction for founders. Invoke when the user says "debrief", "conversation extraction", "what resonated", "meeting notes", "post-meeting review", or describes a conversation they just had with an investor, customer, partner, or advisor and wants to capture what they learned.

A full-stack AI marketing toolkit for trend and competitor analysis, content gap identification, and publishing SEO/GEO-optimized articles with AI illustrations and voice-overs in 55 languages. It also generates social media content and lead magnets.

Use when facing SEO algorithm questions, content strategy decisions, Threads growth planning, GEO optimization, AI tool selection for SEO, or evaluating SEO vendors. Triggers on any algorithm or content marketing decision — even without mentioning darkseoking. Every insight is backed by patent numbers or tested data.

Use when predicting Threads post performance, analyzing post history patterns, estimating engagement ceiling for a draft, or deciding what content type to write next. Works with or without personal data — uses darkseoking benchmark as fallback.

Use when writing, reviewing, or deciding what to post on Threads. Also triggers when planning post-viral strategy or checking posting timing. Runs pre-publish checks based on Meta algorithm patents.

A full-stack AI marketing toolkit that scouts trending topics, analyzes competitors, and identifies content gaps. It publishes SEO- and GEO-optimized articles with AI illustrations and voice-overs in 55 languages, and creates social media adaptations and lead magnets.

MANDATORY for ALL code review requests. When the user asks to "review", "code review", "check code", "找 bug", "review 程式碼", or any variation of reviewing code for bugs, security issues, or quality — you MUST use this skill. Do NOT read files and review them yourself. This skill delegates review to Codex (a separate AI reviewer) via the xreview CLI, enabling three-party review (Codex reviews, Claud

Analyze brand or topic sentiment across Twitter, Reddit, and Instagram using Xpoz. Classifies posts as positive/neutral/negative, extracts recurring themes, and generates a sentiment report. Use when asked for "sentiment analysis", "what are people saying about X", "brand sentiment", or "social media opinion on X".

Schedule and publish text, images, carousels, and videos to social networks like Facebook, Instagram, LinkedIn, TikTok, YouTube, Pinterest, and Telegram via the Devad.io POST API. This skill allows programmatic content posting, bypassing social media dashboards.

Set up customer outreach sequences via [Lemlist](https://composio.dev/toolkits/lemlist), [Reply.io](https://composio.dev/toolkits/reply-io), or [Woodpecker](https://composio.dev/toolkits/woodpecker-co)