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parallel-web
【数据与研究】Uses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.
apify-ultimate-scraper
【数据与研究】AI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task.
browser-act
【效率与协作】Use BrowserAct for authenticated browser automation, JS-rendered extraction, screenshots, parallel sessions, verification handling, and human handoff.
parallel-search-mcp
【开发与工程】Search the public web and verify sources with Parallel's free Search MCP. Use when the user chooses Parallel or its connected tools for current information and URL extraction.
view-pdf
【文档与办公】Interactive PDF viewer. Use when the user wants to open, show, or view a PDF and collaborate on it visually — annotate, highlight, stamp, fill form fields, place signature/initials, or review markup together. Not for summarization or text extraction (use native Read instead).
board-meeting
【数据与研究】Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions (isolated, no cross-pollination), critic analysis, synthesis, founder review, and decision extraction. Use when the user invokes /cs:boardroom, calls a board meeting, or wants structured multi-perspect…
instructor
【数据与研究】Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
deploying-openmed-mcp
【部署与运维】Run OpenMed's Model Context Protocol (MCP) server so coding agents (Claude Code, Codex) and chat clients can call clinical NER, PII extraction, and de-identification as tools, on-device. Use when the user wants to add OpenMed to an agent's MCP config, expose de-id/NER as MCP tools, run an MCP server over stdio or Streamable HTTP, give Claude/Codex ac…
parallel-web
【数据与研究】Use Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.
bio-clip-seq-clip-preprocessing
【效率与协作】Preprocess CLIP-seq reads (eCLIP, iCLIP, iCLIP2, iCLIP3, irCLIP, PAR-CLIP, FLASH) with protocol-specific UMI extraction, adapter trimming, length filtering, and post-alignment PCR-duplicate collapse. Use when raw CLIP FASTQ must be turned into deduplicated, crosslink-preserving BAM input for peak calling; choosing between two-pass and single-pass ada…
bio-workflows-clip-pipeline
【数据与研究】End-to-end CLIP-seq pipeline from FASTQ to ENCODE-compliant binding sites, single-nucleotide crosslink maps, annotation, motifs, and (optionally) differential binding. Use when running the full Yeo lab eCLIP / iCLIP / iCLIP2 / iCLIP3 / irCLIP / PAR-CLIP analysis with SMInput control, protocol-specific UMI extraction, ENCODE STAR parameters, CLIPper o…
risk-and-issues-manager-scott-margetts
【开发与工程】RAID log methodology with decision extraction from emails and meeting notes. Use when asked to identify risks, log assumptions, track issues, extract decisions from correspondence, create or update a RAID log, escalate a risk to an issue, assess project risks, validate or challenge assumptions, or capture scope-relevant decisions. Also triggers when …
model-patterns
【设计与创意】Builds rich domain models with business logic, concerns, and proper associations following the fat-models-over-service-objects philosophy. Use when creating models, adding validations, scopes, callbacks, business logic methods, or associations. WHEN NOT: Controller/routing work (use crud-patterns), concern extraction (use concern-patterns), state rec…
llm-output-privacy-risk
【数据与研究】Assessing privacy risks in large language model outputs including training data memorisation, PII leakage in generated text, prompt injection leading to data extraction, and hallucinated personal data. Covers output filtering, guardrails, and monitoring. Keywords: LLM privacy, output risk, memorisation, PII leakage, prompt injection, hallucinated PII.
ai-test-generation
【设计与创意】Use AI to write NEW test code from specs, PRDs, user stories, code diffs, bug reports, or OpenAPI specs. Staged pipeline: requirements extraction → risk analysis → coverage matrix → scenario generation → oracle design → test code → human review, with guardrails against hallucinated APIs and weak assertions. Use when: "generate tests from spec," "test…
live-ai-pipelines
【数据与研究】Build or refactor a long-running AI workflow that needs visible progress, durable partial results, resume after interruption, or atomic publication. Use for multi-stage extraction, indexing, batch analysis, evaluation, or report workflows. Do not use for a short synchronous model call or a UI-only streaming feature.
blog-taxonomy
【数据与研究】Extract, suggest, and sync tags and categories for blog posts across all major CMS platforms. Supports WordPress REST API, Shopify GraphQL, Ghost Content API, Strapi REST/GraphQL, and Sanity GROQ. Generates tag suggestions from content analysis (keyword frequency, heading extraction, semantic grouping), enforces minimum post-count thresholds to preve…
firecrawl-build-search
【开发与工程】Integrate Firecrawl `/search` into product code and agent workflows. Use when an app needs discovery before extraction, when the feature starts with a query instead of a URL, or when the system should search the web and optionally hydrate result content.