
Claude Skills by kevinnft
github.com/kevinnftMigrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
Edit and improve articles by restructuring sections, improving clarity, and tightening prose. Use when user wants to edit, revise, or improve an article draft.
Search, create, and manage notes in the Obsidian vault with wikilinks and index notes. Use when user wants to find, create, or organize notes in Obsidian.
Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Compact the current conversation into a handoff document for another agent to pick up.
Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.
MCP client: connect servers, register tools (stdio/HTTP).
Search/download GIFs from Tenor via curl + jq.
HeartMuLa: Suno-like song generation from lyrics + tags.
Audio spectrograms/features (mel, chroma, MFCC) via CLI.
Spotify: play, search, queue, manage playlists and devices.
YouTube transcripts to summaries, threads, blogs.
Setup and optimize cryptocurrency mining operations — AI-powered mining (soul.md protocol), parallel agent deployment, accumulation strategies, and performance optimization.
lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).
W&B: log ML experiments, sweeps, model registry, dashboards.
HuggingFace hf CLI: search/download/upload models, datasets.
llama.cpp local GGUF inference + HF Hub model discovery.
OBLITERATUS: abliterate LLM refusals (diff-in-means).
Outlines: structured JSON/regex/Pydantic LLM generation.
vLLM: high-throughput LLM serving, OpenAI API, quantization.
AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.
SAM: zero-shot image segmentation via points, boxes, masks.
DSPy: declarative LM programs, auto-optimize prompts, RAG.
Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).
TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.
Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.
Run local AI services on Windows — port binding, firewall, WSL2 networking, and common pitfalls.
Setup Obsidian mobile sync via GitHub (free) or Obsidian Sync (paid). Includes GitHub CLI automation, MGit/Working Copy setup, and Mnemosyne integration patterns.
Read, search, create, and edit notes in the Obsidian vault.
Airtable REST API via curl. Records CRUD, filters, upserts.
Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.
Linear: manage issues, projects, teams via GraphQL + curl.
Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.
Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).
Notion API via curl: pages, databases, blocks, search.
Extract text from PDFs/scans (pymupdf, marker-pdf).
Create, read, edit .pptx decks, slides, notes, templates.
Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.
Search arXiv papers by keyword, author, category, or ID.
Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.
Analyze credential pooling operations and API reseller business models — economics, risks, detection patterns, and sustainability
Deep-dive framework for analyzing crypto tokens — market data, liquidity health, tokenomics, unlock schedules, and risk assessment. Combines on-chain data, API queries, and multi-source validation to generate actionable investment verdicts.
Karpathy's LLM Wiki: build/query interlinked markdown KB.
Analyze NFT projects for investment decisions — evaluate fundamentals, identify red flags, assess risk, and provide buy/hold/avoid recommendations
Query Polymarket: markets, prices, orderbooks, history.
Write ML papers for NeurIPS/ICML/ICLR: design→submit.
Reverse engineer and security-test Telegram bots — API analysis, callback interception, exploit discovery, and vulnerability documentation