agentleFS
weselbenweselben/RooForge/skills/deep-research/SKILL.md

deep-research

Skill4 starsChanged 3 months agoApache-2.0View on GitHub

Exhaustive evidence-based research — minimum 10 search iterations, recursive reflection, structured reports with markdown-native tables. As long as the research is solid; no fixed length cap. Triggers: \"research this\", \"deep dive\", \"exhaustive analysis\", \"report on X\".

196 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use community-led-growth, ph-community-outreach and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • nicepkgSkill

    community-led-growth

    Expert in community-led growth (CLG) - leveraging user communities to drive acquisition, retention, and expansion. Covers building developer communities, user groups, ambassador programs, and turning customers into advocates. Knows the difference between community as a feature vs community as a growth engine, and how to measure community ROI. Use when "community-led, CLG, ambassador program, champion program, user community, developer community, word of mouth, user group, " mentioned.

    Also in 5 projects that use this

  • nicepkgSkill

    ph-community-outreach

    Engage Reddit, Indie Hackers, Hacker News and other communities for Product Hunt launches. Use this skill to identify relevant communities, craft appropriate posts, and drive cross-platform engagement without appearing spammy.

    Also in 5 projects that use this

  • W-MoorerSkill

    academic-paper-reviewer

    Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy.

    Also in 11 projects that use this

  • W-MoorerSkill

    academic-pipeline

    Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.

    Also in 10 projects that use this

  • xfstudioSkill

    micro-saas-launcher

    Expert in launching small, focused SaaS products fast - the indie hacker approach to building profitable software. Covers idea validation, MVP development, pricing, launch strategies, and growing to sustainable revenue. Ship in weeks, not months. Use when: micro saas, indie hacker, small saas, side project, saas mvp.

    Also in 5 projects that use this

  • stophobiaSkill

    surprise-me

    Create a delightful, unexpected "wow" experience for the user by dynamically discovering and creatively combining other enabled skills. Triggers when the user says "surprise me" or any request expressing a desire for an unexpected creative showcase. Also triggers when the user is bored, wants inspiration, or asks for "something interesting".

    Also in 4 projects that use this

  • +4 more from nicepkg
  • +1 more from W-Moorer

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 177 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Every search round ends with a Think (what's still unknown, what to ask next) and a Summary (what's known now).

    line 17
  2. Distinctive:

    After each round, write a short Think and Summary (see recursion above).

    line 25
  3. Very specific:

    Parallel research: when the question splits into independent sub-questions (e.g.

    line 27

“Common” is measured: kept by at least 6 in 10 of the 177 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Deep Research

High-intensity research protocol: exhaustive discovery, recursive reflection, high-density reporting. Rigorous fact-grounding, quantitative visualization, strict structure and length.

Output

docs/dev/agents/<topic>.md — topic-specific filename, no date. Example: docs/dev/agents/auth-providers-comparison.md.

Leading word: recursion

Every search round ends with a Think (what's still unknown, what to ask next) and a Summary (what's known now). Both tight — under five lines each. The recursion drives the next round's direction.

Steps

1. Explore — minimum 10 search rounds

Each round earns its keep — new dimensions, not synonym-shuffled queries. Prefer primary sources (government, peer-reviewed, official docs). Every claim traceable.

After each round, write a short Think and Summary (see recursion above).

Parallel research: when the question splits into independent sub-questions (e.g. compare 5 auth providers, survey 3 frameworks), invoke dispatching-parallel-agents with one item per sub-question. Each subagent runs its own 10-round loop, writes to its own docs/dev/agents/<sub-topic>.md, and returns a summary. Aggregate results in step 3.

Done when: 10 rounds complete per stream; every round's Think shows diminishing new information.

2. Analyze — synthesize into markdown-native representations

  • Comparison tables for entities, models, metrics
  • Mermaid diagrams for flows and relationships
  • Bold for key metrics and conclusions
  • Data analysis via web research and codebase search

3. Persist — write to docs/dev/agents/<topic>.md

The report IS the artifact. Structure:

  • Every subsection (## 3.1) must contain more than one paragraph
  • Every paragraph ≥ 100 words (max 1,000)
  • Tables as primary structure — aggregate recurring entities into single coherent comparison tables
  • No separate "Source" column — numeric citations ([^1^]) inside data cells
  • Citations: [^index^] for factual/formal pieces, max 2 per sentence
  • Bold sparingly: important keywords, critical numbers, major conclusions — don't repeat the same bold entity in a short span
  • References: ~10 high-quality formatted references at the end
  • Conditional TL;DR at the top only if the question can be answered in a few sentences

After writing, load forge-docs — it updates docs/dev/README.md and any affected index files.

Done when: report written to output path, every claim traceable, tables/mermaid/citations in place, references formatted, and forge-docs applied.

Report modes

ModeStyle
Academic/SurveyFact-based, full definitions, formulas, statistical indicators, baseline comparisons. No speculative interpretation.
Lifestyle/PracticalObservations, human insights, Pros/Cons, actionable trade-offs.

Style adapts to context. Default: strict academic. Omit generic Introduction/Background unless required.

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