Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Find domain experts, thought leaders, and subject-matter authorities on any topic. Searches Twitter and Reddit for people who demonstrate deep knowledge, frequent discussion, and above-average expertise in a specific field. Expert discovery, talent sourcing, researcher identification, and KOL (Key Opinion Leader) mapping.
Find domain experts, thought leaders, and subject-matter authorities on any topic. Searches Twitter and Reddit for people who demonstrate deep knowledge, frequent discussion, and above-average expertise in a specific field. Expert discovery, talent sourcing, researcher identification, and KOL (Key Opinion Leader) mapping.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Find domain experts by analyzing social media activity. Expands topics into search terms, searches Twitter/Reddit, classifies by type, and ranks.
Run xpoz-setup skill. Verify: mcporter call xpoz.checkAccessKeyStatus
Research domain with web_search/web_fetch. Generate tiered queries: TierPurposeExample (RLHF)Tier 1: CoreExact terms"RLHF"Tier 2: TechnicalDeep jargon (strongest signal)"reward model overfitting"Tier 3: AdjacentRelated"preference optimization"Tier 4: DiscussionOpinion"RLHF vs"
mcporter call xpoz.getTwitterPostsByKeywords query='"RLHF"' startDate="<6mo>" mcporter call xpoz.checkOperationStatus operationId="op_..." # Poll every 5s Download CSVs via dataDumpExportOperationId (64K rows). Build author frequency: โฅ3 posts, โฅ2 tiers. Weight Tier 2 highest.
Fetch profiles for top 20-30: mcporter call xpoz.getTwitterUser identifier="user" identifierType="username" Types: ๐ฌ Deep Expert (uses Tier 2 naturally) | ๐ก Thought Leader (trends, large audience) | ๐ ๏ธ Practitioner ("I built") | ๐ฃ Evangelist (aggregates) | ๐ Educator (explains) Score (0-100): Domain depth 30%, consistency 20%, peer recognition 20%, breadth 15%, credentials 15%.
## Expert Report: [Domain] โ X,XXX posts analyzed #### ๐ฅ @username โ ๐ฌ Deep Expert (92/100) **Followers:** 12.4K | **Why:** 23 posts on reward optimization, advanced terminology **Key:** "[quote]" โ โค๏ธ 342
Narrow > broad | Tier 2 jargon = gold | Reddit comments reveal depth | 6mo window ideal
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.