comprehensive-research-agent

Featured

Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls

AI & Automation 3,247 stars 275 forks Updated 1 weeks ago Apache-2.0

Install

View on GitHub

Quality Score: 91/100

Stars 20%
100
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Comprehensive Research Agent Best Practices This skill addresses common failures in multi-step research tasks: unhandled tool errors, missing validation, opaque reasoning, and premature conclusions. It provides structured protocols for source validation, error recovery, and thinking transparency that significantly improves research quality and reliability. ## When to Activate - Task involves web research with search, read_url, or fetch operations - Task requires gathering information from multiple sources - Task has explicit requirements for completeness or verification - Task includes file operations that need validation (save, write, read) - Any research or information-gathering workflow with 3+ tool interactions ## Core Concepts - Validation Checkpoints: Explicit verification steps at phase transitions to confirm tool outputs, source relevance, and information completeness before proceeding - Error Recovery Protocols: Mandatory acknowledgment and handling of tool failures with fallback strategies rather than silent continuation - Source Traceability: Maintaining clear tracking of which sources were actually retrieved vs. referenced from prior knowledge to prevent hallucination - Substantive Thinking Blocks: Detailed reasoning traces that document insights, connections, gaps, and decision rationale at each step - Cross-Source Validation: Verifying key claims against multiple sources and explicitly noting consensus, contradictions, and information gaps ## Patterns to...

Details

Author
foryourhealth111-pixel
Repository
foryourhealth111-pixel/Vibe-Skills
Created
6 months ago
Last Updated
1 weeks ago
Language
Python
License
Apache-2.0

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Featured

research

To run systematic deep research via meta-prompting — grounded references, incremental tracking, self-validation.

344 Updated 1 weeks ago
griddynamics
AI & Automation Listed

research

Multi-agent web research with mandatory URL verification, confidence-tagged output, and four depth modes (quick to deep investigation). USE WHEN research, do research, quick research, extensive research, deep investigation, find information, investigate, extract alpha, analyze content, retrieve content, AI trends, enhance content, extract knowledge, web scraping, YouTube extraction, map landscape, competitive analysis, find it, find this, find this product, identify this, what is this, what's that thing, track down, locate, help me find, I can't find X online, can't find it online, source this — never substitute raw WebSearch/WebFetch for a multi-source find/identify/investigate request. NOT FOR people/company/entity deep background (use _OSINT), academic papers (use ArXiv), JSON entity extraction (use _PARSER), or content-adaptive wisdom extraction (use ExtractWisdom).

12 Updated 4 days ago
DorShaer
AI & Automation Listed

deep-research

Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis", "research report", "compare X vs Y", or "analyze trends". Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.

2 Updated today
NewAbra