Results for “research-workflow”

Full autonomous research workflow — brainstorm, plan, implement, review, and document

Guides a research-before-coding workflow, searching existing tools, libraries, and patterns before writing custom code, with decision matrices and integration with agent workflows.

Full autonomous research workflow using swarm mode for parallel execution

Automates scientific research workflows from data analysis to publication, orchestrating multiple agents for hypothesis generation, methodology development, computational experiments, and LaTeX paper writing.

Deep market and niche research for Nick's workflow. Use when researching a niche, validating pain points, analyzing competitors, identifying market gaps, estimating demand, or deciding whether an idea deserves serious product attention.

Use DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.

Use DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.

Use DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.

Use DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.

Orchestrates the full academic research pipeline from exploration to final manuscript, coordinating research, writing, integrity verification, peer review, revision, and finalization stages with user confirmation checkpoints.

Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.

Organize research by managing references, notes, and collaboration across Google Drive, Docs, Sheets, and Gmail.

Runs evidence-first current-state research, comparing options and enriching people or companies, then reports with explicit evidence boundaries.

Runs a six-phase research workflow that turns unfamiliar domains, source bundles, or collected material into publish-ready output. Use when users ask in any language to research, study, deep-dive, compile sources, synthesize unfamiliar material, or turn a source bundle into a coherent reference. Not for quick lookups or single-file reads.

Searches for academic papers, downloads PDFs, and analyzes content through four core research assistant commands.

Conduct market, domain, or technical research with verified sources. Phase 1 Analysis

端到端研究编排器：idea 发现 → 实验设计 → 执行 → 判决 → 论文撰写，带人工门控和状态恢复

Guides the agent to research existing tools, libraries, and patterns before writing custom code, using parallel searches across package registries, MCP servers, skills, and GitHub, then evaluating and deciding to adopt, extend, or build.

Research external tools/competitors for a topic and write findings to BRAINSTORM.md (project topics) or ~/.clade/research/ (personal topics). Use when user says "/research [topic]".

以证据为先的ECC当前状态研究工作流程。当用户希望基于当前公开证据和提供的本地上下文获取最新事实、比较、丰富信息或建议时使用。

Orchestrates evidence-based research across local PDFs, scholarly search, citation-context tools, web sources, and code repositories to produce traceable syntheses with counterevidence audits.

Conduct a structured literature review on a given topic by defining a search strategy, applying inclusion and exclusion criteria, extracting key findings, and synthesizing results into a coherent academic review. Use when the user requests literature review or provides relevant inputs for this workflow.

Research existing tools, libraries, and patterns before writing custom code by invoking a researcher agent.

Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Three modes - Quick (3 agents), Standard (9 agents), Extensive (24 agents with be-creative skill). USE WHEN user says 'do research', 'quick research', 'extensive research', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.

Conduct domain and industry research. Use when the user says wants to do domain research for a topic or industry

Routes a research topic through a structured two-phase workflow: generate an extensible outline, then fan out parallel web-search agents to investigate each item into validated JSON, producing a complete markdown report with table of contents.

This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.

Cognitive enhancement toolkit combining non-linear reasoning, mental models, and literate programming. Use for complex analysis, system design, debugging, deep learning, and research workflows.

Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.

Search X/Twitter profiles, tweets, trends, and approved engagement actions through the AIsa relay. Use when the user asks for Twitter/X research, posting, likes, follows, or related workflows without sharing passwords.