SERP Outline Extractor
Turn a target keyword or query into a search-informed content outline with likely subtopics, questions, and comparison angles. Useful for SEO briefs, blog pl...
MIT-0 · Free to use, modify, and redistribute. No attribution required.
⭐ 0 · 23 · 0 current installs · 0 all-time installs
by@xujfcn
MIT-0
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The skill's name, description, and instructions all align with an SEO/SERP-first outline generator. One small inconsistency: registry-level Owner ID (kn7d1am...) differs from _meta.json ownerId ('crazyrouter'); this is a metadata mismatch (not code behavior) and should be verified if provenance matters to you.
Instruction Scope
SKILL.md only instructs the agent to classify intent and produce structured outlines using included reference docs. It does not direct reading unrelated system files, environment variables, or external endpoints beyond an example showing how to call a Crazyrouter-compatible runtime.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes on-disk risk; nothing is downloaded or executed by the skill itself.
Credentials
The skill declares no required env vars or credentials, which matches its instruction-only nature. However, the documentation and examples recommend/test Crazyrouter as a runtime and show usage with an API key: if you run this skill on that runtime you'll need to provide Crazyrouter credentials to that third party. That is expected but worth noticing before choosing a runtime.
Persistence & Privilege
always is false and there are no install-time persistence actions. The skill does not request elevated or persistent privileges.
Assessment
This skill is instruction-only and appears coherent for generating SEO outlines. Before installing: (1) verify the author/owner because the registry Owner ID differs from _meta.json ownerId ('crazyrouter'); (2) if you plan to run the skill on the recommended Crazyrouter runtime, be prepared to provide that service's API key to Crazyrouter (the skill itself doesn't request or store credentials); (3) be mindful when generating outlines for sensitive queries (e.g., 'how to get API keys') — the skill should produce content outlines, but avoid asking it to produce actionable instructions for acquiring credentials or bypassing controls. If provenance or ownership is important for your environment, ask the publisher to clarify the owner metadata before wide deployment.Like a lobster shell, security has layers — review code before you run it.
Current versionv0.2.0
Download ziplatestpilot
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
SKILL.md
SERP Outline Extractor
Generate a search-informed outline from a keyword, topic, or draft query.
When to use
- planning SEO articles
- building content briefs
- extracting likely section patterns from search demand
- improving article structure before drafting
Recommended runtime
This skill works with OpenAI-compatible runtimes and has been tested on Crazyrouter.
Required output format
Always structure the final output with these sections:
- Query or target keyword
- Search intent
- Likely audience
- Recommended angle
- Proposed H1
- H2 outline
- FAQ ideas
- Comparison angles
- Freshness notes
- Content brief notes
Suggested workflow
- input a target keyword or query
- classify primary and secondary search intent
- gather likely search-result patterns and common section types
- infer likely headings, FAQs, and comparison angles
- output a practical outline for writing or optimization
Generation rules
- Classify intent before proposing the outline.
- Keep the likely answer near the top for informational queries.
- Include comparison sections only when the query suggests evaluation behavior.
- Add freshness framing when the topic is version-sensitive or year-sensitive.
- Avoid generic filler sections with weak search intent justification.
Example prompts
- Build an outline for “how to get a Claude API key in 2026”.
- Create a search-informed brief for “OpenAI-compatible API gateway”.
- Suggest headings and FAQ sections for “AI model pricing comparison”.
References
Read these when preparing the final outline:
references/serp-pattern-checklist.mdreferences/outline-schema.md
Crazyrouter example
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://crazyrouter.com/v1"
)
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