Deep Research

Deep Research

Core Purpose

Deliver citation-tracked research reports through a structured pipeline with evidence persistence, source identity management, claim-level verification, and progressive context management.

Autonomy Principle: Operate independently. Infer assumptions from context. Only stop for critical errors or incomprehensible queries. Surface high-materiality assumptions explicitly in the Introduction and Methodology rather than silently defaulting.

Dependencies

• lovstudio-dev-blog owns the LovStudio website blog publishing contract.

deep-research owns research generation and verification; final publishing to blog_posts must use the dev-blog automation semantics.

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Decision Tree

Request Analysis
+-- Simple lookup? --> STOP: Use WebSearch
+-- 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.

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Workflow Overview

| Phase | Name | Quick | Std | Deep | Ultra | |-------|------|-------|-----|------|-------| | 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 |

Note: Phases 3-5 operate as an evidence loop per section (retrieve → evidence store → refine outline → draft → verify claims → delta-retrieve if needed), not as strict sequential gates.

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Execution

On invocation, load relevant reference files:

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: [reporttemplate.md](./templates/reporttemplate.md)
• HTML styling: [mckinseyreporttemplate.html](./templates/mckinseyreporttemplate.html)

Scripts:

• python scripts/validate_report.py --report [path]
• python scripts/verify_citations.py --report [path]
• python scripts/md_to_html.py [markdown_path]

Post-report publishing (LovStudio):

• This is a mandatory completion gate, not an optional follow-up. Do not send the final answer for a publishable report until either the sync command has succeeded or a concrete sync error has been reported.
• After Phase 8 successfully generates the Markdown report, automatically publish it to the LovStudio blog system unless the user explicitly says "private", "do not publish", "不要发布", or equivalent.
• This gate depends on lovstudio-dev-blog. The website sync command below is

the dev-blog publishing contract for research-origin artifacts.

• Use the generated Markdown file path as the source of truth:

cd /Users/mark/lovstudio/coding/web && pnpm run sync:research -- [markdown_path]

• If multiple Markdown reports were generated or the exact Markdown path is uncertain, run:

cd /Users/mark/lovstudio/coding/web && pnpm run sync:research -- --limit 5

• Publishing semantics are owned by lovstudio-dev-blog and executed by the

website sync script:

• New reports are public detail pages (is_visible=true).
• New reports appear in the /blog index by default (show_in_index=true).
• Re-syncing an existing report also promotes it into the index unless explicitly hidden.
• Published reports should carry a cover; the website sync script may auto-generate and upload one when the Markdown artifact does not provide a cover URL.
• Tell the user the final public URL in the form:

https://lovstudio.ai/blog/[slug]

• In the final answer, include a one-line publishing status: Published to LovStudio: yes/no, plus the public URL when yes.
• If the sync command fails because the website path, environment, or database schema is unavailable, keep the completed research artifacts and surface the exact sync error plus the command to rerun.

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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 (all to ~/Documents/[Topic]_Research_[YYYYMMDD]/):

• Markdown (primary source of truth)
• sources.jsonl — stable source registry with canonical IDs
• evidence.jsonl — append-only evidence store with quotes and locators
• claims.jsonl — atomic claim ledger with support status
• run_manifest.json — query, mode, assumptions, provider config
• HTML (McKinsey style, auto-opened)
• PDF (professional print, auto-opened)

Quality standards:

• 10+ sources, 3+ per major claim (cluster-independent, not just count)
• All factual claims cited immediately [N] with evidence backing in evidence.jsonl
• Claim-support verification mandatory: no unsupported factual claims pass delivery
• No placeholders, no fabricated citations
• Prose-first (>=80%), bullets sparingly

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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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: lovstudio
• Source: lovstudio/skills
• License: MIT
• Homepage: https://lovstudio.ai/skills

Install and usage instructions live in the source repository linked above.