deep-research-advance
SolidAdvanced one-shot deep research. Runs token-heavy web acquisition (Perplexity) and reasoning/verification (Kimi) headless in a script, then Claude audits the findings, writes a cited report, and optionally distills to Odin. Use for a deep, multi-source, fact-checked report on a PUBLIC-web topic. Trigger on "deep-research-advance", "advanced deep research", "deep research on [topic] with verification". Do NOT use for private/internal questions (the topic and corpus go to third-party clouds), quick lookups (use /osint or WebSearch), or Odin-brain-only recall (use /odin). BEFORE running, if the question is underspecified, ask 2-3 clarifying questions to narrow scope.
Install
Quality Score: 82/100
Skill Content
Details
- Author
- mishahanin
- Repository
- mishahanin/heading-os
- Created
- 2 months ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- Apache-2.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
deep-research
Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
deep-research
Agentic multi-source deep research via Tavily MCP, calibrated to Perplexity Deep Research (100+ sources on exhaustive runs). Load when the user wants a planned, source-graded research report — /deep-research, "deep research on X", "recherche approfondie sur X", "analyse multi-sources", "comparative analysis with sources". Do NOT load for single-fact lookups, known-URL extractions, library doc lookups (use tavily_skill), fanning out parallel research subagents for a quick gist with no plan (use superpowers:dispatching-parallel-agents), or quick research with no graded artifacts (use /research — this skill is the 7-phase pipeline emitting five NATO-graded, script-verified artifacts; it runs autonomously and only pauses to ask a clarifying question when the query is genuinely ambiguous).
deep-research
Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., "what car to buy" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.