Jobs to Be Done
- Author Claude Skills that bundle prompts, tools, and scripts
- Distribute skills to teams via ~/.claude/skills and private registries
- Version skills and handle breaking changes cleanly
- Replace Zapier and Clay workflows with skill-first automations
- Ship skills that work inside Claude Code, Desktop, and Projects
Common Workflows
Outbound research skill
Bundle Scavio SERP, Reddit, and YouTube calls with a prompt chain that produces a per-account brief. Install once and every SDR runs the same motion.
Example: skill: /research-account {domain}
Competitive monitor skill
Weekly skill that snapshots competitor SERPs, AI Overviews, and Reddit mentions, then drafts a digest in the user's Notion.
Example: skill: /competitor-digest {brand}
AEO rank skill
Check answer-engine rank across ChatGPT, Perplexity, Claude, Gemini for a keyword set and write the result back to a Google Sheet.
Example: skill: /aeo-rank {keyword_list}
Skill testing harness
Golden-file harness that runs each skill against a fixed set of inputs to catch breaking changes before distribution.
Example: skill.test('/research-account') -> diff vs golden
Pain Points Scavio Solves
- Skill distribution across a team has no first-class tooling
- Breaking changes in upstream APIs cascade across skills
- Hard to package deterministic data source inside a skill
- No shared testing harness for skills at team scale
Tools Claude Skill Builders Pair With Scavio
Claude Code, Claude Desktop, Anthropic Projects, Notion, Linear, Airtable. Scavio returns structured JSON that fits into any of these tools.
Quick Start
import requests
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key"},
json={"query": "claude skill scavio research"},
)
data = response.json()
# Analyze results for your workflow
for result in data.get("organic_results", [])[:10]:
print(result["title"], "-", result["link"])Platforms You Will Use
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
YouTube
Video search with transcripts and metadata