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Found 78 Skills
Word Flow: Conduct in-depth word analysis and generate infographic cards in one go. It accepts one or more English words, runs ljg-word (which generates in-depth semantic analysis) and then ljg-card -i (which generates infographic PNGs). Use this when the user says '词卡', 'word card', 'word flow', or provides English words and wants both analysis and visual cards.
Write Prisma Next queries — pick a lane (`db.orm.<Model>` for CRUD and includes, `db.sql.<table>` SQL builder for set-builder shapes the ORM doesn't express), filter / project / sort / paginate, eager-load relations with `.include(...)`, transactions via `db.transaction(...)`, aggregates via `.aggregate(...)`. Use for query, where, select, orderBy, take, skip, include, eager load, first, all, count, aggregate, create, update, delete, upsert, returning, transaction, db.transaction, drizzle-style, kysely-style, prisma client, db.close, script, script won't exit, hangs, close connection, db.end, pool.end, await using. Also covers result consumption (`.all()` is a Thenable — just `await` it; no `collect()` / `toArray()` helper needed), single-consumption semantics (`RUNTIME.ITERATOR_CONSUMED`), aggregate nullability (`count` returns `number`, `sum/avg/min/max` return `number | null` per SQL semantics), and range conditions (chain `.where()` clauses or use `and(...)` — there is no `.between(...)`).
Use when documenting an HTTP API, message payloads, queue contracts, DTOs, file formats, or webhooks - or when writing the api-reference of a legacy campaign, or when callers keep asking what a field means or which errors an endpoint returns. Encodes the four detail levels, the DTO-first catalog, wire types with source anchors, the generated-spec one-home rule, and omitted-versus-null semantics. Use whenever a machine interface needs documenting for its callers, even if nobody says "API docs".
Own experiment evidence semantics: decide datasets, baselines, metrics, ablations, robustness tests, chart evidence, and exactly what rows or columns a result table should contain. Use for experiment design, benchmark planning, supplied-result evidence structure, result-table schema, chart-spec semantics, 设计实验, 对比实验, 消融, 结果表证据结构. Do not search literature as the main deliverable, visually beautify or render an already specified table/figure, improve layout/colors/readability, or invent results.
Privacy audit checklist, data leak patterns, and defensive Compact contract patterns for Midnight Network. Use when a user asks about what data is publicly visible on-chain, how to prevent accidental disclosure, how to audit a contract for privacy issues, how to implement commitment/nullifier patterns, domain separation, replay protection, witness trust, or front-running resistance. Also covers transaction semantics (guaranteed vs fallible phase), partial success implications, and what an observer can infer from the public transcript even when witness data is hidden.
Plug-in vision for text-only models. Use whenever the user shares an image (local path, screenshot, photo, chart, document scan, or image URL) and the active model cannot see images or has no vision tool. Runs the modlens CLI to convert the image into structured JSON evidence: OCR text, layout, semantics, visual clues. Also use when the user asks how to install, configure, or switch modlens providers (Gemini API key, OpenAI-compatible endpoints, Claude API or Claude Code CLI).
API contract design conventions for FastAPI projects with Pydantic v2. Use during the design phase when planning new API endpoints, defining request/response contracts, designing pagination or filtering, standardizing error responses, or planning API versioning. Covers RESTful naming, HTTP method semantics, Pydantic v2 schema naming conventions (XxxCreate/XxxUpdate/XxxResponse), cursor-based pagination, standard error format, and OpenAPI documentation. Does NOT cover implementation details (use python-backend-expert) or system-level architecture (use system-architecture).
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
Use when you have an existing component, flow, or interface and need an evidence-backed accessibility design review after basic checks pass. Best for WCAG 2.2 compliance, focus management, ARIA pattern quality, semantics, and state communication gaps automated tools miss.
Index skill for the blockint-skills bundle—includes a “choosing a skill” routing map and routes to focused skills on blockchain intelligence fundamentals, address clustering, analytics, tokenomics, investigation ethics, Phalcon Compliance documentation pointer, Chainalysis public Sanctions API/oracle router, FATF official AML/CFT glossary, Arkham Intel research article on leading crypto analysis tools for traders, Christoph Michel cmichel.io guide on becoming an EVM smart contract auditor, risk exposure, behavioral risk, address and transaction screening workflow concepts, Range AI investigation playbook (MCP), crypto market mechanics, OSINT (Bellingcat toolkit), Solana external stacks (Helius, Range MCP, Tavily, PayAI, React Flow, Solana Policy Institute), DeFi/MEV/rug skills, privileged-access mitigation lessons (Chainalysis Drift case study), coral-xyz sealevel-attacks Solana security examples, Neodyme Solana Security Workshop (workshop.neodyme.io), Osec (osec.io) Solana auditor introduction blog post, canonical X post citation for @armaniferrante status 1411589629384355840, BlockchainSpider open-source data collection, MoTS (Know Your Transactions / transaction semantics research repo), Impersonator dApp devtools (EVM + Solana read-only address presentation), Katana web crawling, lcamtuf American Fuzzy Lop (AFL) classic documentation (lcamtuf.coredump.cx/afl), and the official Agent Skills open-format specification (agentskills/agentskills, agentskills.io/llms.txt doc index). Use when the task spans multiple topics or the user needs help picking which named skill to load.
Write idiomatic C++ code with modern features, RAII, smart pointers, and STL algorithms. Handles templates, move semantics, and performance optimization. Use PROACTIVELY for C++ refactoring, memory safety, or complex C++ patterns.
Canonical Zener HDL semantics, package rules, manifests, and high-value stdlib APIs. Covers `Module()`, `io()`, `config()`, imports, `pcb.toml`, `pcb.sum`, stdlib interfaces and units, and package APIs.