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Found 6,717 Skills
Expert guide for local SEO optimization. Use when optimizing Google Business Profile, managing local citations, NAP consistency, local keyword targeting, review management, local pack ranking, local landing page optimization, or multi-location SEO strategy.
This skill should be used when the user asks to "query BigQuery with Python", "use the google-cloud-bigquery SDK", "load data into BigQuery", "define a BigQuery schema", or needs guidance on best practices for the Python BigQuery client library.
Ultra-lightweight AI assistant in Go that runs on $10 hardware with <10MB RAM, supporting multiple LLM providers, tools, and single-binary deployment across RISC-V, ARM, MIPS, and x86.
Use this skill when implementing structured data markup using JSON-LD and Schema.org vocabulary for rich search results. Triggers on adding schema markup for FAQ, HowTo, Product, Article, Breadcrumb, Organization, LocalBusiness, Event, Recipe, or any Schema.org type. Covers JSON-LD implementation, Google Rich Results eligibility, validation testing, and framework integration (Next.js, Nuxt, Astro).
Answer a question about Sky governance using the local knowledge base
Full-repo SAP Converged Cloud Go compliance audit. Reviews every package against established review standards — focusing on over-engineering, error message quality, dead code, interface contracts, copy-paste structs, and pattern consistency with keppel. Dispatches parallel agents by package group, each reading ALL sapcc rules. Produces code-level findings with actual before/after diffs. Invoked via "/sapcc-audit" or through /do.
Statistical rule discovery through measurement of Go codebases: Count patterns, derive confidence-scored rules, produce Style Vector fingerprint. Use when analyzing codebase conventions, extracting implicit coding rules, profiling a repo before onboarding or PR automation. Use for "analyze codebase", "find coding patterns", "what conventions does this repo use", "extract rules", or "codebase DNA". Do NOT use for code review, bug fixes, refactoring, or performance optimization.
MaxCompute Quota Management Skill. Use for managing MaxCompute/ODPS quota resources including pay-as-you-go quota creation, query, and listing operations. Triggers: "MaxCompute quota", "ODPS quota", "create quota", "list quotas", "quota management", "CU management".
CSV/spreadsheet formula injection (DDE, Excel/LibreOffice, Google Sheets IMPORT*). Use when exports, imports, or user fields feed spreadsheets or reporting tools.
Use this skill whenever deciding what features to extract from raw marketplace assets — listing photos, owner-entered listing metadata, sitter wizard responses — to power item-to-item (similar listings), user-to-item (homefeed ranking), or user-to-user (mutual-fit matching) recommenders in a two-sided trust marketplace. Covers asset auditing, first-principles feature decomposition from the decision the user is making, vision-feature extraction (CLIP, room-type classification, amenity detection, aesthetic and quality scoring), listing text and metadata encoding (categoricals, multi-hot amenities, H3 geo-hashing, sentence-transformer description embeddings, structured pet triples), sitter wizard design (information-gain ordering, multiple-choice over free text, genuine skippability, hard constraint versus soft preference), derived-composition patterns for i2i / u2i / u2u (precomputed ANN shelves, multi-modal fusion, two-tower affinity, symmetric mutual-fit scoring, interpretable subscores), feature quality governance (single registry, training-serving parity, coverage and drift alarms, PII scrubbing, schema versioning), and incremental value proof (one feature at a time, ablation A/B, kill reviews, exploration slice, permanent feature-free baseline). Trigger even when the user does not explicitly say "feature engineering" but is asking how to get more signal out of listing photos, listing metadata, or the sitter onboarding wizard, or how to improve i2i / u2i / u2u quality without blindly ingesting a new model.
Rust build time optimization skill for reducing slow compilation. Use when using cargo-timings to profile builds, configuring sccache for Rust, using the Cranelift backend, splitting workspaces for parallelism, choosing between thin LTO and fat LTO, or using the mold linker with Rust. Activates on queries about slow Rust compilation, cargo-timings, sccache Rust, cranelift backend, Rust workspace splitting, LTO tradeoffs, or mold linker with Rust.
Generate Planning & Management documentation for SDLC projects. Covers Project Vision & Scope, SDP, SCMP, QA Plan, Risk Plan, SRS, and Feasibility Study. Use when starting a new project, conducting project governance, or establishing the planning...