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api-connector-builder

Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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name api-connector-builder description Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture. metadata {"version":"1.0.0","origin":"ECC direct-port adaptation"} API Connector Builder Use this when the job is to add a repo-native integration surface, not just a generic HTTP client. The point is to match the host repository's pattern: connector layout config schema auth model error handling test style registration/discovery wiring When to Use "Build a Jira connector for this project" "Add a Slack provider following the existing pattern" "Create a new integration for this API" "Build a plugin that matches the repo's connector style" Guardrails do not invent a new integration architecture when the repo already has one do not start from vendor docs alone; start from existing in-repo connectors first do not stop at transport code if the repo expects registry wiring, tests, and docs do not cargo-cult old connectors if the repo has a newer current pattern Workflow 1. Learn the house style Inspect at least 2 existing connectors/providers and map: file layout abstraction boundaries config model retry / pagination conventions registry hooks test fixtures and naming 2. Narrow the target integration Define only the surface the repo actually needs: auth flow key entities core read/write operations pagination and rate limits webhook or polling model 3. Build in repo-native layers Typical slices: config/schema client/transport mapping layer connector/provider entrypoint registration tests 4. Validate against the source pattern The new connector should look obvious in the codebase, not imported from a different ecosystem. Reference Shapes Provider-style providers/ existing_provider/ __init__.py provider.py config.py Connector-style integrations/ existing/ client.py models.py connector.py TypeScript plugin-style src/integrations/ existing/ index.ts client.ts types.ts test.ts Quality Checklist matches an existing in-repo integration pattern config validation exists auth and error handling are explicit pagination/retry behavior follows repo norms registry/discovery wiring is complete tests mirror the host repo's style docs/examples are updated if expected by the repo Related Skills backend-patterns mcp-server-patterns github-ops
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Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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