.fyi
SkillsMCPPluginsSubagents

Browse by category

DevOps & CI/CD SkillsProductivity & Workflow SkillsOther SkillsProduct & Project Management SkillsDocumentation & Knowledge SkillsCode Review & Refactor SkillsBackend & APIs SkillsAgent Meta & Communication SkillsResearch SkillsSecurity SkillsUX UI & Design SkillsTesting & QA SkillsSee all →

Every Claude Code skill, MCP server, plugin and subagent in one directory. Searchable, comparable, and one command from installed. Live stats from GitHub, npm and PyPI.

We're on Product HuntYour agent's app storeCheck it out →
Agent SkillsMCP ServersPluginsSubagentsCoding Agents
CollectionsOfficial publishersGlossaryFAQBlogSearchSavedFeedback
PrivacyTermsllms.txtSitemap

made with ♥ · © 2026 aaaa.fyi

Independent project · real data from public registries

…/llm-wiki/search-orchestrator
home/subagents/oshayr/llm-wiki/search-orchestrator
oshayr avatar

search-orchestrator

byoshayr· 7 subagents

Stars

51

Forks

2

Category

Documentation & Knowledge

View on GitHub

TL;DR

Multi-channel search orchestration — classifies complexity, fans out to channel subagents, deduplicates and ranks results.

How to install search-orchestrator?

oshayr/llm-wiki/search-orchestrator
$curl -o .claude/agents/search-orchestrator.md https://raw.githubusercontent.com/oshayr/llm-wiki/HEAD/agents/search-orchestrator.md

Installs into the current project.

›Prefer a prompt? Paste this to your agent

Install & use

Install search-orchestrator by running `curl -o .claude/agents/search-orchestrator.md https://raw.githubusercontent.com/oshayr/llm-wiki/HEAD/agents/search-orchestrator.md`, then use it for the current task and follow its documentation at https://github.com/oshayr/llm-wiki.

Files · 1

View on GitHub
agents/search-orchestrator.md
1Orchestrate multi-channel search: classify the research question, generate diverse query variants, fan out to channel subagents in parallel, then merge and rank results.
2 
3## Process
4 
5### 1. Classify Complexity
6 
7Assess the research task:
8- **Simple** (fact-finding, single entity): 1 channel, 3-10 tool calls max
9- **Moderate** (multi-faceted topic): 2-3 channels, 10-15 tool calls each
10- **Complex** (broad survey, controversy): 3-5 channels, 15+ tool calls
11 
12### 1b. Wiki Coverage Check
13 
14Check `.wiki/index.md` — if 3+ existing high-confidence pages cover this topic, reduce search scope. Don't re-research what the wiki already knows well.
15 
16### 2. Generate Query Variants
17 
18Create 2-3 diverse search queries (not repetitive rewording):
19- Different angles on the same topic
20- Include specific technical terms AND general phrasing
21- For academic: include author names, paper titles if known
22 
23### 3. Fan Out to Channels
24 
25Launch `search-channel` subagents in parallel with appropriate channel types:
26- **web** — general web search (default, always included)
27- **docs** — Context7, official docs (for library/framework topics)
28- **wikipedia** — MediaWiki Action API (for factual, encyclopedic, historical, scientific concept queries)
29- **academic** — Semantic Scholar, arXiv, OpenAlex, CrossRef (for research papers, scientific topics)
30- **code** — GitHub, npm, PyPI, Stack Overflow (for libraries, packages, code examples)
31 
32### 4. Merge and Post-Process Results
33 
34Collect results from all channels and pass to `research-processor` agent for deduplication and condensing:
35 
36**research-processor** handles:
37- Exact URL match → keep one
38- DOI match → keep one
39- Title similarity >85% → keep higher-credibility source
40- Content-hash (first 500 chars, normalized) → keep one
41- Condense overlapping snippets into unified summaries
42- Remove redundant sources that add no new information
43 
44**Credibility Tiers:**
45- Tier 1 (high): official docs, peer-reviewed papers, authoritative repos (>1K stars)
46- Tier 2 (medium): reputable blogs, conference talks, well-maintained repos
47- Tier 3 (low): forums, community posts, unverified sources
48 
49**Ranking formula:**
50- Base: tier1=100, tier2=50, tier3=10
51- +30 if title matches topic keywords
52- +20 if citation_count > 50
53- +15 for each corroborating source (agreement bonus)
54 
55### 5. Return Top-N
56 
57Receive deduplicated, condensed results from research-processor as normalized array:
58```json
59{"title": "...", "url": "...", "snippet": "...", "source_type": "web|academic|code|docs|wikipedia", "credibility_tier": 1|2|3, "score": N}
60```
61 
62## Rules
63- Always check wiki coverage first — don't waste searches on known topics
64- Generate diverse queries — never repeat the same search with slight rewording
65- After each search result, evaluate quality — stop if 3+ authoritative sources agree
66- Maximum tool calls: respect the complexity tier limits

Preview

oshayr/llm-wikioshayr/llm-wiki

Orchestrate multi-channel search: classify the research question, generate diverse query variants, fan out to channel subagents in parallel, then merge and rank

## Process

### 1. Classify Complexity

Assess the research task:

Repooshayr/llm-wiki
TypeSubagents
CategoryDocumentation & Knowledge
UpdatedApr 2026
LicenseMIT
First seenJul 27, 2026

Tags

Subagent

Related

6 picks
Type
  1. shanraisshan avatardocumentation-analyst-writerUse this agent when you need to analyze existing documentation and create new or updated documentation that strictly adheres to project-specific documentation standards defined in claude.md.SubagentsJul 202664k
  2. pbakaus avatarimpeccable-documenterRecords DESIGN.md and its sidecar from a finished Impeccable build, deriving the design system from the shipped artifact rather than from intentions.SubagentsJul 202650k
  3. yeachan-heo avatardocument-specialistExternal Documentation & Reference SpecialistSubagentsJul 202638k
  4. yeachan-heo avatarwriterTechnical documentation writer for README, API docs, and comments (Haiku)SubagentsJul 202638k
  5. activepieces avatarchangelogWrites changelog entries for Activepieces releases. Produces enterprise-grade, end-user-focused update notes in Mintlify format.SubagentsJul 202623k
  6. donchitos avatarlocalization-leadOwns internationalization architecture, string management, locale testing, and translation pipeline. Use for i18n system design, string extraction workflows, locale-specific issues, or translation…SubagentsMay 202623k