Results for “fr”

Analyzes music listening data from Apple Music or Spotify exports to build a taste profile, then generates personalized playlists with AI-generated songs and album covers.

Coordinates a 13-agent team for rigorous academic research on any topic, supporting eight modes from quick briefs to systematic reviews with meta-analysis.

Execute a phased DMARC rollout from p=none monitoring through p=quarantine to p=reject enforcement, ensuring all legitimate email sources are authenticated before blocking unauthorized senders.

Reviews resumes for formatting, design, content, and job-specific fit; scores job postings for fit and interview odds; develops rubrics; extracts content from conversations; and audits the resume generation pipeline.

Turns messy business process descriptions into structured workflows, classifies each step for automation potential using a GREEN/YELLOW/RED framework, and produces a prioritized automation roadmap with time savings estimates.

Interact with Instagram from the command line: view feeds, posts, profiles, and comments, search users and hashtags, and perform engagement actions like liking, commenting, and following using cookie-based authentication.

Recommends the skill or flow that fits the user's situation. A router over the skills in this repo. Use when the user asks which skill to use, is unsure what fits, or needs a pointer to the right workflow.

Shape, bet, and build products using the 37signals philosophy from Getting Real, Rework, and Shape Up — fix time, flex scope, and ship with small autonomous teams.

Decode an incoming message into a structured breakdown that separates the literal ask from the job-to-be-done, before replying to a loaded Slack ping, email, mandate, or escalation.

Drafts clear, professional emails ready to copy and paste — from a brief description of the situation, audience, and intent. Use when asked to write, draft, or compose an email, reply to a message, or suggest how to phrase something professionally.

Migrates an Android XML View to Jetpack Compose using a structured 10-step process, from candidate selection and analysis to theming, layout conversion, validation, and cleanup.

Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills and identifying outdated ones.

QQ邮箱 IMAP receive and SMTP send via Node.js scripts; credentials read from env vars QQ_EMAIL_ACCOUNT and QQ_EMAIL_AUTH_CODE. Use when a user asks to send QQ email, receive/check QQ email, forward email, or configure QQ mailbox.

Runs a full retrospective and dev cycle analysis, chaining /recall and /new-features to reconstruct what went wrong, extract lessons learned, identify rework patterns, and synthesize feature ideas from the findings.

Builds a configurable scraping agent that collects data from APIs, HTML, or RSS, enriches it with Gemini AI scoring, and stores results in Notion, Google Sheets, Supabase, or local files.

Turns vague features, bug clusters, roadmap items, or launch work into an execution-ready planning packet by choosing the right packet type, separating discovery from delivery, and making blockers, dependencies, and the next move explicit.

Master the AI tools that handle administrative work and boost personal productivity. From meeting notes to email management, get more done with less effort. Use when "meeting notes, email management, calendar optimization, productivity, time management, productivity, meetings, email, calendar, personal" mentioned.

Analyzes recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and sends a personalized growth report to Slack DMs.

Persistent TODO scratch pad for tracking tasks across sessions. Use when user says "add to TODO", "what's on the TODO", "mark X done", "show TODO list", "remove from TODO", or asks about pending tasks. Also triggers on heartbeat to remind about stale items.

Read and extract content from any web page using a real Chrome browser — including SPAs, JavaScript-rendered sites, and complex dynamic pages. Use when fetching page content that headless tools can't render, searching the web, or reading fully rendered pages via your own browser.

Level 2+ task decomposition. Use when a single task from tasks.md is STILL too complex (affects 3+ files or requires multiple logic blocks). Breaks tasks into MICROTASKS (1 file/function each) for granular implementation. NOT for initial task breakdown - OpenSpec already does that.

Generate AI voiceovers, sound effects, and music using ElevenLabs APIs. Use when creating audio content for videos, podcasts, or games. Triggers include generating voiceovers, narration, dialogue, sound effects from descriptions, background music, soundtrack generation, voice cloning, or any audio synthesis task.

Extracts a YouTube channel's business email and metadata from the About page, following outbound links to personal or business sites when no email is found in the description.

Compresses AI agent output tokens by up to 65% using a terse, article-free communication style while preserving full technical accuracy. Supports multiple intensity levels and auto-disables for security warnings or ambiguous instructions.

Generates a gamified habit-tracking app UI with three phone frames: a cover poster, today's quests with XP and level bar, and a quest detail view with subtasks and rewards.

Builds detailed voice profiles for characters, narrators, brands, or AI agents, covering diction, syntax, rhythm, worldview, signature patterns, and failure modes, and can reverse-engineer profiles from writing samples or audit existing ones.

Guide for translating code between programming languages. Use when converting code from one language to another, planning language migrations, understanding conversion challenges, asking about type mappings, idiom translations, or referencing pattern mappings. Covers APTV workflow, type systems, error handling, concurrency, and language-specific gotchas.

Use when planning an ACL project calendar across ACL Rolling Review cycles, covering cycle selection against conference commitment windows, backward planning from an ARR deadline, the review-response-meta-review timeline, commitment decisions, resubmission loops to later cycles, and camera-ready through ACL Anthology publication.

Use when planning a COLT (Conference on Learning Theory) submission calendar backward from the single AoE paper deadline — proof-completion and verification milestones, writing and appendix-assembly passes, CMT logistics, the rebuttal window, decision aftermath, and PMLR camera-ready with conference presentation in early summer.

Use when planning a VLDB project on the PVLDB rolling calendar, covering month-picking strategy, the volume-to-conference mapping and acceptance cutoff, budgeting a possible three-month revision, coordinating author caps across a group, and backward planning from the 25th-abstract / 1st-paper rhythm.

Personal CRM built on monday.com. Tracks contacts, last interactions, next meetings, and topics. Runs daily to update from Calendar + email. Delivers pre-meeting briefings as part of morning-briefing. Use when: someone asks about a contact, before a meeting, or during daily CRM sync.

Write structured notes into the local Obsidian vault at /Users/tangchunwu/Documents/Obsidian Vault. Use when the user asks to save content to Obsidian, archive a note into the vault, create a review/summary/todo note, or organize an existing draft into Obsidian folders with frontmatter.

Manage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.

Use when deciding which AER-skills sub-skill to use next, before choosing a specialized skill or after a user asks how to sequence manuscript work from topic selection through rebuttal for AER, AER:Insights, or AEJ journals. Routes — does not replace — the specialized skills.

Extract false-positive and false-negative gaps from VLM binary-classification-question predictions by comparing model responses against ground truth, producing a structured JSONL file and summary report for downstream root-cause analysis.

Use when planning a UIST cycle end to end — the late-March abstract and paper deadlines, the ten-week build-freeze before video production, the rebuttal window, conditional acceptance, the July camera-ready, adjunct-track parallel lanes, and the November conference — with owners and risk buffers.