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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 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-skills-api-connector-builder-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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