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Found 6,147 Skills
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.
Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.
Two-way sync between a local paper directory and an Overleaf project via the Overleaf Git bridge (Premium feature). Lets you keep ARIS audit/edit workflows on the local copy while collaborators edit in the Overleaf web UI. Token never touches the agent — user does the one-time auth via macOS Keychain. Use when user says "同步 overleaf", "overleaf sync", "推送到 overleaf", "connect overleaf", "Overleaf 桥接", "pull overleaf", "push overleaf", or wants to bridge their ARIS paper directory with an Overleaf project.
Use this when user provides a Yii2 codebase for analysis or migration planning. Provides 6-phase workflow: scan, capability extraction, dependency analysis, requirements extraction, semantic indexing, and migration roadmap. Apply when user mentions Yii2, PHP legacy modernization, or framework migration to NestJS
Expert media production assistant. Use when requested to help with storyboarding, podcast creation, audio assembly, or complex multi-step media workflows using the GenMedia MCP servers (Veo, Lyria, Gemini TTS, NanoBanana).
Expert guidance for building conversational AI applications with Chainlit framework in Python. Use when (1) creating chat interfaces for LLM applications, (2) building apps with OpenAI, LangChain, LlamaIndex, or Mistral AI, (3) implementing streaming responses, (4) adding UI elements like images, files, charts, (5) handling user file uploads, (6) implementing authentication (OAuth, password), (7) creating multi-step workflows with visible steps, (8) building RAG applications with document upload, or (9) deploying chat apps to web, Slack, Discord, or Teams.
Grafana Cloud AI and ML features — Grafana Assistant (natural language queries, dashboard generation, incident investigations), Dynamic Alerting (ML forecasting and outlier detection), Sift (automated root cause analysis with 8 analysis types), Knowledge Graph (entity discovery and RCA Workbench), and the LLM Plugin (OpenAI/Anthropic/Azure integration). Use when setting up AI-powered alerting, using natural language to query metrics/logs, automating incident investigation, or integrating LLMs with Grafana panels and workflows.
Influencer marketing strategy across platforms — creator discovery, audience vetting, campaign tracking, ROI measurement, outreach, gifting, and affiliate programs. Covers platform comparison (Modash, influData, Creator.co, Hypefy, LTK, Influencity, Meltwater, Skeepers, Heepsy, CreatorIQ, NeoReach, Afluencer, Collabstr, Cloutboost, House of Marketers, Famesters, inBeat, HypeAuditor, Aspire, Influencer Hero, InstaJet, Open Influence, Viral Nation, trendHERO, Upfluence, GRIN, PlutoBa), discovery workflow (search, filters, lookalikes, audience analysis), vetting framework (fake followers, engagement authenticity, audience demographics), campaign setup and tracking (EMV, ROAS, CPM, sales attribution), creator outreach (email templates, negotiation, rate cards), product gifting and seeding, influencer affiliate programs, and creator payments. Use when unsure which influencer platform to pick, can't find the right creators for your niche, worried about fake followers or inflated metrics, campaign results aren't being tracked properly, creators aren't responding to outreach, or influencer spend isn't showing ROI. Do NOT use for platform-specific config (use /sales-modash, /sales-infludata, /sales-creatorco, /sales-hypefy, /sales-ltk, /sales-influencity, /sales-meltwater, /sales-brandwatch, /sales-skeepers, /sales-heepsy, /sales-creatoriq, /sales-neoreach, /sales-afluencer, /sales-collabstr, /sales-cloutboost, /sales-houseofmarketers, /sales-famesters, /sales-inbeat, /sales-hypeauditor, /sales-aspire, /sales-influencer-hero, /sales-instajet, /sales-openinfluence, /sales-viralnation, /sales-trendhero, /sales-upfluence, /sales-grin, or /sales-plutoba), TikTok marketing strategy (use /sales-tiktok-marketing), gaming influencer marketing strategy (use /sales-gaming-marketing), ad campaign strategy (use /sales-retargeting), or email marketing to subscribers (use /sales-email-marketing).
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or iterate on skill quality. Triggers: "create a skill", "make a new skill", "build a skill for", "write a skill that", "skill for doing X", "I want a skill to", "new skill", "design a skill", "scaffold a skill", "improve this skill", "optimize this skill", "this skill isn't working well", "evaluate this skill", "score this skill", "how good is this skill", "run evals on", "benchmark this skill", "test this skill's quality", "skill quality", "skill performance". Also triggers when a user describes a repeatable workflow they want to automate, says "I keep doing X manually", "can you remember how to do X", or "turn this into a skill".
Scope-aware resource creation workflow. Uses non-interactive mode by default and references the shared flags catalog.
Handle Word document (.docx) creation, editing, and analysis with high-fidelity visual review. Use for professional reports, legal documents, and tracked changes. Use proactively when quality and precise formatting are critical. Examples: - user: "Create a professional report in Word" -> use python-docx with render loops - user: "Draft a legal contract with redlines" -> use ooxml redlining workflow - user: "Extract text from this DOCX while preserving structure" -> use pandoc markdown conversion
Harness engineering for AI coding agents — five subsystems, memory persistence, session continuity, verification workflows, scope control, lifecycle management.