web-research
Web research
One orchestrator does the setup and talks to the user at fixed points; parallel subagents research using the selected source/tool profile; each subagent writes one markdown file per entity (YAML frontmatter plus body sections); the source's deterministic compiler produces HTML views and a CSV from those files after its upstream workspace prerequisites are obtained. Sources are Browserbase's company-research, competitor-analysis and event-prospecting skills, plus the marketing sources tagged in each topic. Each entity is researched as Plan, Research, Synthesize: split the work into sub-questions, loop search and fetch under a step budget, then score and fill fields from the findings collected. A hard call cap per entity keeps the slowest subagent, and so the whole fan-out, fast; and every field is quoted from a fetched page or a search result or written as Unknown, never inferred from how a site looks or from the user's own ICP.
Apply only the routes and checks for the selected job. Read a linked skill's named file from its installed folder when available, or from the linked source. Report an unavailable required reference instead of inventing it. [skill-authoring, DISTRIBUTION.md#composing-skills]
| The job | Read |
|---|---|
| Dated marketing moves, comparable traffic history, funnel/content observations and evidence-backed adaptations | GROWTH-TEARDOWN.md |
| Setup questions, reusable profiles, subagent prompts, tool and permission rules, depth modes, call caps, waves, sizing, failed subagents | FANOUT.md |
| Evidence: observed/inferred/implication, findings/confidence, research loop, news-owner route, discovery filters, page discovery, research extraction fields/budgets and domain dedup; transport links to scraping | EVIDENCE.md |
Competitor analysis: three discovery waves, the category gate, the confirm step, five lanes and the merge, the feature matrix and its fact-check, how a false renders publicly, battle cards, the landscape summary and positioning map, dated raw snapshots and change logs, screenshots |
COMPETITORS.md |
| Event prospecting: platform recon, extracting speakers, triage, deep research on fits, person files and hooks, provenance and sensitive traits | EVENTS.md |
| Compiling the HTML views and CSV, dedup by name, the chat summary | COMPILER.md |
| Public vs and alternative pages; customer voice from reviews, forums and interviews; content plans | the comparison-pages, customer-research and content-strategy skills (comparison-pages, customer-research, content-strategy) |
| Testing whether agents can use a product's docs, SDK or a SKILL.md | agent-dx-audit |
| A paid third-party research agent over TikTok and Instagram creators and trends (Lightreel API and MCP) | creator-marketing PROGRAMS.md |