Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.

get an env var, fetch a secret, missing env var, missing token/API key, load secrets from Infisical, infisical. Fetch secrets from the team's Infisical workspace into the shell environment so subsequent commands can use them.

Use as the WordPress Playground routing wrapper for ambiguous Playground work, local CLI runs with @wp-playground/cli, playground.wordpress.net share links, browser previews, WebMCP site tools, snapshots, mounts, version switching, and Xdebug. For Blueprint JSON authoring or review, use the blueprint skill directly.

Use when working with the WordPress Abilities API (wp_register_ability, wp_register_ability_category, /wp-json/wp-abilities/v1/*, @wordpress/abilities) including defining abilities, categories, meta, REST exposure, and permissions checks for clients.

Builds resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like lambda durable functions, durable execution, workflow orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, reliable serverless applications, context.step, context.wait, context.invoke, context.runInChildContext, withDurableExecution, DurableContext, UnrecoverableInvocationError, durable-execution-sdk, qualified ARN invocation, and durable handler replay.

Advises on Amazon RDS open-source engines (MySQL, MariaDB, PostgreSQL) for instance creation, upgrade planning, commitment pricing, proxy evaluation, and Blue/Green deployments. Handles any RDS MySQL, MariaDB, or PostgreSQL question, including create a production-ready RDS MySQL instance, provision an RDS PostgreSQL database, run the RDS upgrade advisor for my RDS MySQL instance, what are my upgrade options, upgrade RDS MariaDB from 10.6 to the latest version, should I buy reserved instances or a savings plan for db.r7g.2xlarge RDS MySQL, change a VARCHAR to INT column on RDS MySQL 8.0 with Blue/Green, and does RDS Proxy help when PgBouncer already runs in transaction mode. Covers instance creation with production best practices, describe-db-instances and describe-db-engine-versions upgrade-target workflow, live prechecks via SSM or direct connection, RI versus DSP commitment pricing, RDS Proxy versus PgBouncer, and Blue/Green lifecycle with binlog replay compatibility.

Clean the local hacs_waste_collection_schedule repository after a pull request merges. Use when a maintainer asks to clean merged branches, resync master, prune remotes, or prepare the checkout for the next ticket.

Gemini 模型通过 OpenAI 兼容 API 接入指南。包含：(1) 辅助 API 配置（summary/correction/emotion/vision），(2) extra_body 格式用于控制 thinking，(3) 响应格式处理（markdown 代码块）。当需要将 Gemini 作为辅助模型接入、配置 thinking 参数、或处理 Gemini API 返回格式时使用。

Use when creating, filing, moving, or archiving files in the agent workspace: which directory a file belongs in, how to date and attribute it, when to archive instead of delete, and how to keep the tree navigable over years.

This skill should be used when the user asks to "address review feedback", "fix PR comments", "close findings", "respond to reviewer notes", or "reduce review churn". Enforces a finding-to-evidence closure loop for every review round.

Data-boundary audit for Compozy route loaders, TanStack Query caches, paginated catalogs, filters, ordering, totals, live streams, workspace-scoped reads, and their backend APIs. Use when adding, changing, or debugging those paths. Don't use for presentational-only UI or backend work with no public read-model impact.

Use when adding, moving, reviewing, or auditing tests in Compozy to identify the invariant, owning layer, and canonical suite before changing coverage. Do not use as a replacement for framework-specific testing skills or final verification gates.

Query Google Places API (New) via the goplaces CLI for text search, place details, resolve, and reviews. Use for human-friendly place lookup or JSON output for scripts.

天天基金官方 Skills 网关调用封装。 Use when: 查询天天基金/天天财富基金数据、基金搜索、基金净值、基金持仓、基金经理、指数、黄金、债市、活期宝或官方 ttfund skills。 Not for: 交易执行、券商/银行账户操作、FRED/Tushare/yfinance/AKShare 结构化数据源、投资建议。 Output: 通过官方网关返回的结构化 JSON 事实数据，带 source/asOf 后再进入 F207 数据层。 GOTCHA: 必须有本机 `TTFUND_APIKEY`，且 key 只放环境变量或 gitignored `.env`，绝不写入 git 或回复全文。

约定图发现方法论：进一个 repo 先识别 repo-specific conventions，再定义 domain/extractor 接 Convention Graph 引擎。Use when: 进入陌生 repo、要画约定图、要找“改 X 影响谁”的约定层关联、 F242/Convention Graph Layer 工作。Not for: 普通符号跳转/LSP、文档索引检索、记忆图谱、直接使用 codegraph/GitNexus。Output: domain 定义 + extractor 计划 + gap/freshness/provenance 报告。 GOTCHA: 沉淀的是“怎么画图”的方法，不是把 cat-cafe 的 extractor 硬搬到所有 repo。

Score, embed, and generate DNA sequences with Evo 2, a long-context genomic foundation model. Use this skill when: (1) Computing per-nucleotide or per-sequence likelihoods for variant effect scoring, (2) Embedding genomic windows for downstream classification, (3) Generating DNA conditioned on a prefix, (4) Scoring regulatory or coding regions across species.

Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots. Use for a figure that will ship in a report, paper, export, or kept artifact. Covers data fidelity, label economy, color threading, chart choice, layout, and render-then-verify QA without imposing a visual house style. For multi-panel composition use `figure-composer`; for whole-paper ordering use `paper-narrative`.

Structure prediction for protein, nucleic-acid, and small-molecule complexes with Boltz-2 (Passaro & Wohlwend et al. 2025, github.com/jwohlwend/boltz). Reach for this skill to validate designed binders against a target, to co-fold a protein with a SMILES or CCD ligand, or to get an open-source AlphaFold3 alternative with optional binding-affinity prediction.

Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al. 2026, github.com/Biohub/esm). Single-sequence and MSA modes; protein, DNA, RNA, ligand (CCD/SMILES), modified residues. FoldBench Ab-Ag 50-55%, PPI 70-77% DockQ-pass. Also covers the ESMC-{300M,600M,6B} protein language models from the same release: masked-LM logits, hidden states, mutation scoring, contact prediction, and the SAE interpretability head. MIT-licensed weights on HuggingFace org `biohub`. Use this skill when: (1) Predicting complex structures with single-sequence input, (2) Validating designed binders with ESMFold2-Fast, (3) Running ESMFold2 with MSA input, (4) Getting ESMC embeddings or per-residue mutation scores, (5) Choosing kernel backend and sampling-step settings for paper-faithful throughput.

指导业务知识网络（BKN）建模，输出符合 BKN 2.0.0 的对象类型、关系类型、操作类型、风险类型与概念分组定义。适用于用户提出本体设计、知识网络建模、实体关系梳理、Action 设计、Schema 评审、从文档提取初稿或扩展现有 BKN 的场景。