integration-research
Conducts honest research on book service integration capabilities.
Install
mkdir -p .claude/skills/integration-research && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/18014" && unzip -o skill.zip -d .claude/skills/integration-research && rm skill.zipInstalls to .claude/skills/integration-research
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Use when researching a book service integration (Libby, Goodreads, Google Books, Open Library, Calibre, Audiobookshelf, Amazon, B&N, StoryGraph) to honestly separate official API support from import/share/deep-link support before building or documenting it.Key capabilities
- →Research official API availability and authentication models for book services
- →Identify export/import capabilities and supported fields for user data
- →Determine Android share targets, App Links, or stable URLs for parsing
- →Document rate limits and terms of service for target services
- →Provide an honest verdict on ShelfCheck's current integration capabilities
- →Update `docs/integrations/strategy.md` with research findings
How it works
The skill researches a target book service to document its official API, export/import features, Android share/deep link support, authentication model, and rate limits. It then provides a verdict and updates the integration strategy documentation.
Inputs & outputs
When to use integration-research
- →Assess book service API feasibility
- →Research import options for shelf check
- →Validate integration documentation
About this skill
Integration Research
Force honest, structured research before any ShelfCheck integration is built or documented. Distinguish what is officially supported from what is import/share/deep-link only. Follow the integration strategy.
When to Use
- Evaluating a new third-party book service.
- Validating or correcting integration claims in docs.
- Scoping an integration feature before implementation.
Procedure
For the target service, research and document with citations:
- Official API — Is there a public, consumer-accessible API? What auth model?
- Export/import — What can the user export (CSV, OPML, tags, timeline)? Which fields?
- Android share / deep links — Does it expose share targets, App Links, or stable URLs ShelfCheck can parse?
- Auth model — OAuth, API key, none, or unsupported?
- Rate limits & terms — Constraints and ToS limits.
- Honest verdict — What ShelfCheck can do today vs not.
Hard Rules
- Never recommend scraping private account data.
- Never recommend credential login or password storage.
- Mark every unsupported assumption explicitly.
- Update docs/integrations/strategy.md with findings.
Output
Verdict (Supported / Partial / Import-only / Share-only / Unsupported), capability breakdown with source URLs, a concrete ShelfCheck recommendation, and the doc update made.
When not to use it
- →When scraping private account data is considered
- →When recommending credential login or password storage
- →When unsupported assumptions are not explicitly marked
Limitations
- →Never recommend scraping private account data
- →Never recommend credential login or password storage
- →Mark every unsupported assumption explicitly
How it compares
This process provides a structured, evidence-based assessment of integration feasibility, ensuring transparency and adherence to hard rules, unlike ad-hoc research that might overlook critical details or make unsupported assumptions.
Compared to similar skills
integration-research side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| integration-research (this skill) | 0 | 1mo | No flags | Intermediate |
| ena-database | 2 | 7mo | Review | Advanced |
| research-agent | 1 | 6mo | Review | Intermediate |
| research-external | 1 | 6mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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