aniruddhaadak80
- 236 skills
- 0 followers
- 2 weeks ago last updated
- ▌ Kanban Worker · aniruddhaadak80Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.
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- ▌ Serving Llms Vllm · aniruddhaadak80 bundlevLLM: high-throughput LLM serving, OpenAI API, quantization.
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- ▌ Chroma · aniruddhaadak80 bundleOpen-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.
- ▌ Qdrant Vector Search · aniruddhaadak80 bundleHigh-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
- ▌ Qmd · aniruddhaadak80Search personal knowledge bases, notes, docs, and meeting transcripts locally using qmd — a hybrid retrieval engine with BM25, vector search, and LLM reranking. Supports CLI and MCP integration.
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- ▌ Slack · aniruddhaadak80Slack tool actions: send/read/edit/delete messages, react, pin/unpin, list pins/reactions/emoji, member info.
- ▌ Wacli · aniruddhaadak80Send third-party WhatsApp messages or sync/search WhatsApp history via wacli, not normal active chats.
- ▌ Meme Maker · aniruddhaadak80 bundleSearch meme templates, suggest formats, and generate local or hosted image memes.
- ▌ Coding Agent · aniruddhaadak80Delegate coding work to Codex, Claude Code, OpenCode, or Pi as background workers; not simple edits or read-only code lookup.
- ▌ Session Logs · aniruddhaadak80Search and analyze your own session logs (older/parent conversations) using jq.
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- ▌ Sparse Autoencoder Training · aniruddhaadak80 bundleProvides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.
- ▌ Whisper · aniruddhaadak80 bundleOpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
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- ▌ Google Meet · aniruddhaadak80 bundleJoin a Google Meet call, transcribe live captions, optionally speak in realtime, and do the followup work afterwards. Use when the user asks the agent to sit in on a meeting, take notes, summarize, respond in-call, or action items from it.
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- ▌ Imsg · aniruddhaadak80iMessage/SMS CLI for listing chats, history, and sending messages via Messages.app.
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- ▌ Tmux · aniruddhaadak80 bundleControl tmux sessions/panes for interactive CLIs: list, capture output, send keys, paste text, monitor prompts.
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