← Files 8gnc — Brand Growth DiagnosticARCHIVED FILE
skills/deep-research/SKILL.md
5.39 KB · Sep 30, 2026 · 23:15 UTC
--- name: deep-research description: Use when a task needs enterprise-grade research across many sources with citation tracking and verification. Triggers on "deep research", "comprehensive analysis", "research report", "compare X vs Y", "analyze trends", or "state of the art". Not for simple lookups, debugging, or questions answerable with 1-2 searches. --- # Deep Research ## Core Purpose Deliver citation-backed, verified research reports through a structured pipeline with source credibility scoring, evidence persistence, and progressive context management. **Autonomy Principle:** Operate independently. Infer assumptions from context. Only stop for critical errors or incomprehensible queries. --- ## Decision Tree ``` Request Analysis +-- Simple lookup? --> STOP: Use the available current web-search tool +-- Debugging? --> STOP: Use standard tools +-- Complex analysis needed? --> CONTINUE Mode Selection +-- Initial exploration --> quick (3 phases, 2-5 min) +-- Standard research --> standard (6 phases, 5-10 min) [DEFAULT] +-- Critical decision --> deep (8 phases, 10-20 min) +-- Comprehensive review --> ultradeep (8+ phases, 20-45 min) ``` **Default assumptions:** Technical query = technical audience. Comparison = balanced perspective. Trend = recent 1-2 years. --- ## Workflow Overview | Phase | Name | Quick | Standard | Deep | UltraDeep | |-------|------|-------|----------|------|-----------| | 1 | SCOPE | Y | Y | Y | Y | | 2 | PLAN | - | Y | Y | Y | | 3 | RETRIEVE | Y | Y | Y | Y | | 4 | TRIANGULATE | - | Y | Y | Y | | 4.5 | OUTLINE REFINEMENT | - | Y | Y | Y | | 5 | SYNTHESIZE | - | Y | Y | Y | | 6 | CRITIQUE | - | - | Y | Y | | 7 | REFINE | - | - | Y | Y | | 8 | PACKAGE | Y | Y | Y | Y | --- ## File locations (read this first) Choose behavior based on the current execution surface: | Context | Helper execution | Report destination | |---|---|---| | Codex with local file and shell access | Resolve the installed `deep-research` skill directory from this loaded `SKILL.md`; call helpers from its `scripts/` directory | A user-approved workspace path such as `./research-output/[topic]-YYYYMMDD/` | | ChatGPT or another surface without local shell access | Do not claim that bundled scripts ran | Return the report in conversation or through the supported downloadable-file workflow | Never write into a home directory or external system without the user's authorization. ## Execution **On invocation, load relevant reference files** (relative paths from this SKILL.md, which work on both surfaces): 1. **Phase 1-7:** Load [methodology.md](./reference/methodology.md) for detailed phase instructions 2. **Phase 8 (Report):** Load [report-assembly.md](./reference/report-assembly.md) for progressive generation 3. **HTML/PDF output:** Load [html-generation.md](./reference/html-generation.md) 4. **Quality checks:** Load [quality-gates.md](./reference/quality-gates.md) 5. **Long reports (>18K words):** Load [continuation.md](./reference/continuation.md) **Templates:** - Report structure: [report_template.md](./templates/report_template.md) - HTML styling: [mckinsey_report_template.html](./templates/mckinsey_report_template.html) **Scripts:** on a local execution surface, resolve the installed skill directory first and use absolute package-relative paths: - `python3 [skill-dir]/scripts/validate_report.py --report [path]` - `python3 [skill-dir]/scripts/verify_citations.py --report [path]` - `python3 [skill-dir]/scripts/md_to_html.py [markdown_path]` If local execution is unavailable, apply the same checks manually and disclose that the bundled validators did not run. --- ## Output Contract **Required sections:** - Executive Summary (200-400 words) - Introduction (scope, methodology, assumptions) - Main Analysis (4-8 findings, 600-2,000 words each, cited) - Synthesis & Insights (patterns, implications) - Limitations & Caveats - Recommendations - Bibliography (COMPLETE - every citation, no placeholders) - Methodology Appendix **Output files** — use the destination contract above. Produce: - Markdown (primary source) - HTML when the current surface can create it - PDF when a supported PDF workflow or WeasyPrint is available **Quality standards:** - 10+ sources, 3+ per major claim - All claims cited immediately [N] - No placeholders, no fabricated citations - Prose-first (>=80%), bullets sparingly --- ## Common Mistakes - **Running deep/ultradeep for a question one search answers** — burns 10-45 minutes for no added confidence. Walk the decision tree first; simple lookup means STOP. - **Citing a major claim from a single source** — fails the 3+ sources standard and ships unverified assertions. Triangulate, or downgrade the claim and say so in Limitations. - **Leaving placeholder or uncited entries in the bibliography** — `validate_report.py` rejects it, and a client who checks one dead citation distrusts the whole report. Every [N] must resolve. - **Writing bullet-heavy sections** — violates the prose-first (>=80%) contract and reads as notes, not analysis. Convert findings to narrative; bullets only for genuine lists. - **Skipping `verify_citations.py` before packaging** — fabricated or dead links reach the reader. Run it on every report, every time. ## When to Use / NOT Use **Use:** Comprehensive analysis, technology comparisons, state-of-the-art reviews, multi-perspective investigation, market analysis. **Do NOT use:** Simple lookups, debugging, 1-2 search answers, quick time-sensitive queries.
SHA-256: c8aed80256803da6da41aaa76cf038f0288308750284483aa4ab19df7b636b59