研究与知识

研究、检索、摘要和知识工作

1480 個 Skills 可用

Skills 列表

tooluniverse-drug-research

tooluniverse-drug-research

1.7Kresearch-knowledge

Comprehensive drug profiling — mechanism, primary/secondary targets, drug interactions, clinical-trial status, adverse events (FAERS), pharmacogenomics, and approval history. Use for full drug investigation reports, 'tell me about drug X' queries, and assembling drug profiles for clinicians, researchers, or regulatory work.

mims-harvard avatarmims-harvard
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tooluniverse-drug-drug-interaction

tooluniverse-drug-drug-interaction

1.7Kresearch-knowledge

Assess drug-drug interactions — CYP metabolic interactions (substrate/inhibitor/inducer), transporter (P-gp, BCRP, OATP) effects, pharmacodynamic synergy/antagonism, clinical significance scoring, and management recommendations. Use for polypharmacy review, prescribing decision support, and safety analysis when adding or switching drugs.

mims-harvard avatarmims-harvard
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tooluniverse-disease-research

tooluniverse-disease-research

1.7Kresearch-knowledge

Generate comprehensive disease research reports covering genetics (causal genes, GWAS, OMIM), pathways (Reactome, KEGG), drugs (existing therapies, repurposing candidates), clinical trials, epidemiology (prevalence, incidence), and phenotypes (HPO). Use for full disease overviews, comprehensive disease characterization, and orphan/rare-disease profiling.

mims-harvard avatarmims-harvard
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tooluniverse-protein-structure-retrieval

tooluniverse-protein-structure-retrieval

1.7Kresearch-knowledge

Protein structure retrieval from RCSB PDB, PDBe, and AlphaFold with disambiguation, quality assessment (resolution, R-factor, pLDDT), and metadata. Distinguishes high-quality experimental (X-ray under 2 Angstrom) vs predicted vs medium-quality structures. Use for fetching protein structures, structure-quality comparison, and selecting structures for drug design or modeling.

mims-harvard avatarmims-harvard
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app-marketing-context

app-marketing-context

1.7Kresearch-knowledge

When the user wants to create or update their app marketing context document. Also use when the user mentions "app context", "marketing brief", "app positioning", or when starting any ASO or app marketing project. This is the foundation skill — all other skills check for this context first.

eronred avatareronred
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localization

localization

1.7Kresearch-knowledge

When the user wants to localize their App Store listing for international markets. Also use when the user mentions "localization", "translate my app", "international markets", "expand to new countries", "localize metadata", or "which countries should I target". For keyword research in specific markets, see keyword-research. For metadata writing, see metadata-optimization.

eronred avatareronred
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app-launch

app-launch

1.7Kresearch-knowledge

When the user wants to plan a launch strategy for a new app or major update. Also use when the user mentions "app launch", "launch plan", "launch checklist", "pre-launch", "launch day", or "how to launch my app". For ongoing ASO after launch, see aso-audit. For paid acquisition during launch, see ua-campaign.

eronred avatareronred
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setup-arxiv-mcp

setup-arxiv-mcp

1.7Kresearch-knowledge

Guide for setup arXiv paper search MCP server using Docker MCP

neolabhq avatarneolabhq
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create-command

create-command

1.7Kresearch-knowledge

Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration

neolabhq avatarneolabhq
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build-mcp

build-mcp

1.7Kresearch-knowledge

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

neolabhq avatarneolabhq
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setup-codemap-cli

setup-codemap-cli

1.7Kresearch-knowledge

Guide for setup Codemap CLI for intelligent codebase visualization and navigation

neolabhq avatarneolabhq
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query

query

1.7Kresearch-knowledge

Search the FPF knowledge base and display hypothesis details with assurance information

neolabhq avatarneolabhq
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setup-context7-mcp

setup-context7-mcp

1.7Kresearch-knowledge

Guide for setup Context7 MCP server to load documentation for specific technologies.

neolabhq avatarneolabhq
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apply-anthropic-skill-best-practices

apply-anthropic-skill-best-practices

1.7Kresearch-knowledge

Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

neolabhq avatarneolabhq
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actualize

actualize

1.7Kresearch-knowledge

Reconcile the project's FPF state with recent repository changes

neolabhq avatarneolabhq
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create-pr

create-pr

1.7Kresearch-knowledge

Create pull requests using GitHub CLI with proper templates and formatting

neolabhq avatarneolabhq
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attach-review-to-pr

attach-review-to-pr

1.7Kresearch-knowledge

Add line-specific review comments to pull requests using GitHub CLI API

neolabhq avatarneolabhq
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create-skill

create-skill

1.7Kresearch-knowledge

Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization

neolabhq avatarneolabhq
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do-competitively

do-competitively

1.7Kresearch-knowledge

Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis

neolabhq avatarneolabhq
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setup-serena-mcp

setup-serena-mcp

1.7Kresearch-knowledge

Guide for setup Serena MCP server for semantic code retrieval and editing capabilities

neolabhq avatarneolabhq
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analyse-problem

analyse-problem

1.7Kresearch-knowledge

Comprehensive A3 one-page problem analysis with root cause and action plan

neolabhq avatarneolabhq
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judge

judge

1.7Kresearch-knowledge

Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation

neolabhq avatarneolabhq
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launch-sub-agent

launch-sub-agent

1.7Kresearch-knowledge

Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification

neolabhq avatarneolabhq
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do-and-judge

do-and-judge

1.7Kresearch-knowledge

Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop

neolabhq avatarneolabhq
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