发现 Skills

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.

Expert at handling file uploads and cloud storage. Covers S3, Cloudflare R2, presigned URLs, multipart uploads, and image optimization. Knows how to handle large files without blocking. Use when: file upload, S3, R2, presigned URL, multipart.

Interface Craft by Josh Puckett helps build polished React interfaces with storyboard motion, live tuning controls, critique frameworks, and concept workflows; use when requests involve UI motion, critique, refinement, concept exploration, or interaction craft.

AI4PKM helper for orchestrator configuration, worker management, and CLI workflow integration.

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

Run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil's advocate analysis, or says things like 'what would different experts think about this', 'help me think through this from all sides', 'council mode', 'mind council', or 'deliberate on this'. Also trigger when the user faces a dilemma, trade-off, or complex choice with no obvious answer.

Run and analyze molecular dynamics simulations with OpenMM and MDAnalysis. Set up protein/small-molecule systems, define force fields, run energy minimization and production MD, and analyze trajectories (RMSD, RMSF, contact maps, free-energy surfaces). For structural biology, drug binding studies, and biophysics.

Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.

Use when you need exact symbolic math in Python — algebra, calculus, equation solving, symbolic linear algebra, or code generation via lambdify/LaTeX. Prefer NumPy or SciPy when floating-point approximations are sufficient.

Creates AnythingLLM custom agent skills (plugin.json + handler.js). Use when asked to build, create, or scaffold an AnythingLLM agent skill. Knows the exact file format, schema, and deployment path for the user's Docker setup.

Use @effect/platform abstractions for cross-platform file I/O, process spawning, HTTP clients, and terminal operations. Apply this skill when writing code that interacts with the filesystem, spawns processes, makes HTTP requests, or performs console I/O to ensure portability across Node.js, Bun, and browser environments.

Convert markdown vault to RDF/TTL knowledge graph. Extract persons, projects, meetings, and relationships into semantic triples.

Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table management, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP server integration for AI-assisted querying. Modern TypeScript/Bun implementation replacing the Python `bq` CLI with instant startup (~10ms vs ~500ms), automatic cost awareness with confirmation prompts, and native streaming support (JSONL). Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files) from Cloud Storage.

Feishu/Lark native OpenAPI exploration: discover native OpenAPI endpoints from the official documentation repository that are not wrapped by existing lark-* skills or the lark-cli. Use this when a user's needs cannot be met by existing lark-* skills or lark-cli registered commands and you need to find and call Feishu native OpenAPI directly.

Use the Zustand devtools middleware for time-travel debugging and state inspection.

Patterns for organizing and structuring documentation including hierarchy, navigation, and information architecture.

Isolated workspace creation - creates git worktrees with smart directory selection and safety verification for parallel feature development.

Paper workflow: read papers and generate cards in one go. Accepts one or more arXiv links, paper URLs, PDFs, or paper titles. For each paper, runs ljg-paper (produces an org-format analysis) and then ljg-card -l (produces a long reading-card PNG). Use when the user says "paper flow", "read papers and make cards", "paper cards", or supplies multiple papers and wants both analysis and cards.

Comprehensive FastAPI skill for building modern Python web APIs with focus on customer support systems, ticket management, real-time chat, and backend operations

Comprehensive gRPC microservices skill covering protobuf schemas, service definitions, streaming patterns, interceptors, load balancing, and production gRPC architecture

Comprehensive guide for Redis state management including caching strategies, session management, pub/sub patterns, distributed locks, and data structures

Curate AI newsletter content with smart deduplication and ranking. Use when user invokes /ai-newsletters or when /start-my-day needs newsletter content.

Analyze CUDA kernel performance using NVIDIA Nsight Compute (NCU). Use when the user wants to: (1) profile a CUDA kernel with NCU to generate .ncu-rep files, (2) analyze NCU reports programmatically using the ncu_report Python API, (3) extract specific metrics from NCU profiles (duration, throughput, occupancy, cache hit rates), (4) compare two kernel profiles side-by-side, (5) identify performance bottlenecks in GPU kernels, or (6) work with .ncu-rep files in any way.

Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text. Triggers: "text analytics", "sentiment analysis", "entity recognition", "key phrase", "PII detection", "TextAnalyticsClient".