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Found 6,674 Skills
Configure which models pstack uses per role. Detects your available models and writes an always-applied rule that overrides the skill defaults. Use for /setup-pstack, "configure pstack models", or changing pstack's model choices.
Overcome LLM knowledge cutoffs with real-time developer content. daily.dev aggregates articles from thousands of sources, validated by community engagement, with structured taxonomy for precise discovery.
Interact with KakaoTalk - send messages, read chats, manage conversations
Fully offline speech-to-text via the Vosk library — streaming recognition, 16 kHz PCM, no network required after model download.
dbskill Updater. Use when the user says "Update dbskill", "Upgrade dbskill", "Update dbskill to the latest version", "Check for dbskill updates" or enters /dbs-update. Only sync dontbesilent2025/dbskill, do not update other Skills installed by the user, and do not modify the user's dbskill save files. Update dbskill when the user asks to update, upgrade, or check updates for dbskill.
Sync your Fathom meetings once, then search, analyze, and act on them forever — offline, at scale, without burning API quota. Trigger phrases: `what did I promise in my calls`, `how often has pricing come up in meetings`, `brief me on my Acme calls`, `which team members are in too many meetings`, `find a meeting where we discussed X`, `search my fathom meetings`, `use fathom`, `run fathom-pp-cli`.
Publish or fetch learned patterns across projects via IPFS (Pinata) -- the cross-project pattern transfer that hooks_transfer enables
Strunk's Writing Rules for enhancing document quality. Applicable to all texts intended for human readers: documents, reports, comments, commit messages, etc.
Interact with LINE - send messages, read chats, manage conversations
Project documentation that stays alive. Read before starting work, update after finishing. Covers project setup, specs, architecture diagrams, and execution plans. Use when starting a project, writing a spec, checking existing docs, updating docs after changes, or when someone says "set up docs", "create a plan", "audit docs", or "init project".
Use the belt CLI — run 250+ AI apps, manage knowledge, search skills, connect MCP servers
Autonomously set up an OpenClaw bot on a fresh Yandex Cloud VM in Kazakhstan (kz1-a, Karaganda). Asks the user for exactly two things — a Telegram bot token and one of three LLM access options (Anthropic API key, OpenRouter API key, or OpenAI Codex OAuth via ChatGPT Plus/Pro subscription) — then handles VM creation, hardening, OpenClaw install, CEO AI OS workspace seeding, Telegram pairing, chat_id auto-detection, and bot-reply verification on its own. The only other actions the user performs are pressing /start in Telegram once and (if Codex) confirming a device code on auth.openai.com. Use when the user says install OpenClaw to Yandex Cloud, deploy OpenClaw to YC Kazakhstan, set up my CEO bot in YC KZ, I am at OpenClaw workshop and need my own bot, create a Yandex Cloud VM for OpenClaw, or any close paraphrase. Targets a ~15-minute end-to-end run for non-DevOps users (founders, CEOs, marketing leads). Supports two modes of accessing Yandex Cloud — Plan A (the user's own YC Kazakhstan account via OAuth) and Plan B (a workshop-key bundle provided by the workshop organizer, for participants without their own YC account). The mode is auto-detected from the inputs. For local-machine OpenClaw install, use openclaw/install.sh in this repo instead. Companion skill openclaw-guide is required; prepare-yc-workshop is the matching organizer-side skill that produces the bundles consumed in Plan B; openclaw-user-onboarding is auto-invoked after Step 5 to collect the five basic facts about the user (identity, focus, style, tools, anti-patterns) and write them into USER.md so the bot is useful from message one.