deep-research

Dictum: Iterative dispatch with inter-round critique maximizes research coverage.

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "deep-research" with this command: npx skills add bsamiee/parametric_forge/bsamiee-parametric-forge-deep-research

[H1][DEEP-RESEARCH]

Dictum: Iterative dispatch with inter-round critique maximizes research coverage.

Conduct comprehensive topic research via parallel agent dispatch.

Workflow:

  • §ORIENT — Execute 3 Exa searches via exa-tools skill, map landscape, extract facets

  • §ROUND_1 — Dispatch 6-10 agents for breadth coverage via parallel-dispatch skill

  • §CRITIQUE_1 — Filter findings, retain quality, build skeleton with gaps

  • §ROUND_2 — Dispatch 6-10 agents to flesh out skeleton

  • §CRITIQUE_2 — Synthesize holistically, deduplicate, produce final output

Dependencies:

  • exa-tools — Web search and code context queries

  • parallel-dispatch — Agent orchestration mechanics

Input:

  • Topic : Domain to research

  • OutputPath : Target file path (passed by invoking command, default: report.md )

  • Constraints : Context, scaffold, style from invoking skill

[CRITICAL]:

  • [ALWAYS] Main agent writes to OutputPath only—no other files.

  • [ALWAYS] Sub-agents RETURN structured text—main agent is sole file writer.

  • [NEVER] Sub-agents use Write, Edit, Bash, or create any files.

[1][ORIENT]

Dictum: Initial queries map landscape before dispatch.

Main agent executes exactly 3 Exa searches via exa-tools skill; these map topic structure.

Map domain landscape; identify facets for agent assignment. Produce facet list (6-10 independent research areas) for Round 1.

[IMPORTANT]:

  • [ALWAYS] Execute 3 Exa searches via exa-tools skill before dispatch.

  • [ALWAYS] Extract facet boundaries from results.

  • [NEVER] Dispatch before orient completes.

[2][ROUND_1]

Dictum: Breadth via parallel dispatch—6-10 agents exploring independent facets.

Dispatch 6-10 sub-agents via parallel-dispatch . Assign each agent unique scope from orient facets.

Agent Count: Scale by task complexity (default: 8).

Agent Prompt:

Scope: [Specific facet from orient] Objective: Research this facet comprehensively Output: Return structured text (CRITICAL → FINDINGS → SOURCES) Context: [Topic background, constraints] Constraint: DO NOT write files—return text only

[CRITICAL]:

  • [ALWAYS] Dispatch ALL agents in ONE message block.

  • [ALWAYS] Include "DO NOT write files" constraint in every agent prompt.

  • [NEVER] Create overlapping scopes.

[3][CRITIQUE_1]

Dictum: Main agent builds skeleton—retains quality, identifies gaps.

Main agent (NOT sub-agent) processes Round 1 outputs.

[INDEX] [ACTION] [CRITERIA]

[1] Remove Lacks focus, duplicates content, missing sources, pre-2024, fails quality

[2] Retain Addresses topic, includes sources, dates 2024-2025, converges across agents

Skeleton: Build from retained → [Domain N]: [findings]

  • Gaps:
  • Depth-Targets:

[CRITICAL] Skeleton is first corpus—Round 2 fleshes it out.

[4][ROUND_2]

Dictum: Depth via parallel dispatch—same agent count, focused on skeleton gaps.

Dispatch 6-10 sub-agents (same count as Round 1) via parallel-dispatch .

Agent Assignment:

[INDEX] [TYPE] [PURPOSE] [COUNT]

[1] Focused Specific gaps from skeleton 4-6

[2] Wide Broader context for areas 2-4

Agent Prompt:

Scope: [Gap or depth-target from skeleton] Objective: [Focused: fill gap | Wide: broaden context] Output: Return structured text (CRITICAL → FINDINGS → SOURCES) Context: [Skeleton content—build on, don't repeat] Prior: [Relevant Round 1 findings] Constraint: DO NOT write files—return text only

[CRITICAL]:

  • [ALWAYS] Same agent count as Round 1.

  • [ALWAYS] Include skeleton context.

  • [ALWAYS] Include "DO NOT write files" constraint in every agent prompt.

[5][CRITIQUE_2]

Dictum: Main agent synthesizes holistically—final corpus for downstream use.

Main agent (NOT sub-agent) compiles final research output and writes to OutputPath .

Integrate: Merge Round 2 → skeleton. Cross-reference rounds. Resolve conflicts (prioritize sourced, current, convergent).

Filter: Remove duplicates, out-of-scope content, superseded items, unresolved conflicts.

Write: Single file to OutputPath with structure:

  • [1][FINDINGS]

— Synthesized research by domain

  • [2][CONFIDENCE]

— High (convergent) | Medium (single-source) | Low (gaps)

  • [3][SOURCES]

— All sources with attribution

[6][VALIDATION]

Dictum: Gates prevent incomplete synthesis.

[VERIFY]:

  • Orient: 3 Exa searches executed via exa-tools skill

  • Round 1: 6-10 agents in ONE message, all returned text (no file writes)

  • Critique 1: Skeleton built, gaps identified

  • Round 2: Same count, focused on skeleton, all returned text (no file writes)

  • Critique 2: Final synthesis, duplicates removed

  • Single file written to OutputPath by main agent only

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

hostinger-tools

No summary provided by upstream source.

Repository SourceNeeds Review
General

n8n-builder

No summary provided by upstream source.

Repository SourceNeeds Review
General

output-style-builder

No summary provided by upstream source.

Repository SourceNeeds Review