跳到正文
cccskills
免费在 GitHub 公开

adobe-local-dev-loop

Create a repeatable local development loop for Adobe adapters using synthetic fixtures and offline tests. Document differences between local modes and remote Runtime, and produce a reviewable record of test evidence, cleanup, and open questions.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Build a repeatable local loop for Adobe adapters using synthetic contracts before any remote Runtime or product call. Use when implementing or debugging locally. Trigger with "develop Adobe integration locally", "mock Adobe API", or "aio app dev".

实测评分 未实测

查看安装方法

适用场景

  • Developing an Adobe adapter locally
  • Mocking Adobe API responses with fixtures
  • Testing error and throttling cases offline
  • Documenting local and Runtime behavior differences

包含的文件(2)

  • SKILL.md4.0 KB
  • references/official-docs.md3.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Adobe Isolated Development Loop

Overview

Build a repeatable local loop for Adobe adapters using synthetic contracts before any remote Runtime or product call. This workflow produces a reviewable artifact and evidence before any live side effect.

Prerequisites

  • Current first-party Adobe documentation for every selected service, API version, auth flow, limit, and lifecycle.
  • Named product, identity, security, data, budget, release, and operations owners appropriate to the scope.
  • Synthetic or approved non-production fixtures with secret and content canaries.

Current Contract

App Builder local modes differ: aio app dev runs actions locally and lacks activation records and some Runtime-only storage capabilities; aio app run uses remote Runtime actions with local UI. Offline fixtures must cover both product responses and those environment differences. Recheck the dated evidence map before relying on mutable product behavior.

Authentication

Use synthetic data and non-production aliases. Keep .env and .aio out of version control; pass configured values to actions rather than assuming local environment variables exist in deployed Runtime.

Instructions

  1. Inventory the adapter, SDK locks, App Builder configuration, fixtures, and current local-mode assumptions.
  2. Define typed request, response, async-status, error, throttling, and redaction contracts from current docs.
  3. Create synthetic fixtures for success, additive fields, malformed data, 401/403, 429, 5xx, and ambiguous completion.
  4. Run unit and contract tests with network access disabled and secret canaries enabled.
  5. If App Builder is used, exercise aio app dev and a separately approved aio app run path where Runtime fidelity matters.
  6. Record mode differences, cleanup remote test artifacts, and keep only sanitized deterministic fixtures.

Tool Discipline

Use Read, Glob, and Grep to inspect current documentation, configuration, code, fixtures, and evidence. Use Write and Edit only for approved repository artifacts. Skill invocation alone does not authorize network access, credentials, Adobe content, consent, uploads, generation, spend, deployment, registration changes, replay, cancellation, or deletion.

Approval Boundaries

Require sandbox-owner approval for remote Runtime or Adobe API calls and separate approval for uploads, generation, writes, or deletion.

Error Handling

  • Fail if a production hostname, organization, credential, or asset enters a fixture.
  • Do not snapshot signed URLs or document/image bytes into source control.
  • Treat locally unsupported State or Files behavior as unknown until remote testing.

Output

Return the client seam, fixture manifest, commands, secret scan, local/remote matrix, cleanup, and remaining unknowns. Mark assumptions, observed environment behavior, owners, evidence dates, and unresolved gaps explicitly.

Examples

  • Replay a 429 with and without Retry-After.
  • Prove aio app dev limitations are not represented as production behavior.

Validation

Exercise and record expected and observed results for:

  • offline success
  • additive field
  • auth denial
  • 429
  • Runtime-only feature
  • secret canary

Resources

  • Current first-party evidence map — recheck dated Adobe sources before execution.
  • Treat observed tenant or product behavior as environment-specific evidence, never a universal Adobe guarantee.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Add a synthetic-data CI gate for customer-owned Abridge integration code. Test consent handling, note-review handoffs, redaction, and rollback behavior with mocked vendor boundaries, without connecting CI to a live Abridge or EHR tenant.

中文简介正在准备中。当前显示英语简介。

  • Adding regression checks to an Abridge integration repository
  • Testing consent and note-release handling
  • Checking logs for sensitive data exposure
jeremylongshore/tons-of-skills-marketplace28672026年10月23日 更新

Triage Abridge recording, note review, Epic handoff, and access problems using observed symptoms and approved guidance. Identify the affected workflow stage, organize a minimal timeline, and prepare a redacted escalation record for the responsible team.

中文简介正在准备中。当前显示英语简介。

  • Separate recording problems from upload failures
  • Investigate note creation delays and editor issues
  • Identify the responsible team for Epic handoff failures
jeremylongshore/tons-of-skills-marketplace28672026年10月23日 更新

Map and review an Abridge clinical documentation workflow from consent and recording through draft review, evidence checks, edits, and final disposition. Keep clinician approval explicit, identify failure exits, and separate verified facts from tenant-specific details and pending approvals.

中文简介正在准备中。当前显示英语简介。

  • Map a clinical note workflow for a care setting
  • Check where consent and patient identity are verified
  • Review draft notes against linked evidence before sign-off
jeremylongshore/tons-of-skills-marketplace28672026年10月23日 更新

Audit how clinician-reviewed Abridge note sections map into Epic templates and downstream workflows. Use approved test records to document destinations, exceptions, evidence, rollback steps, and a go or no-go decision for a specific environment.

中文简介正在准备中。当前显示英语简介。

  • Checking Abridge note section mappings to Epic templates
  • Auditing a department’s approved documentation handoff
  • Preparing test evidence and a go or no-go decision
jeremylongshore/tons-of-skills-marketplace28672026年10月23日 更新

Review Abridge adoption and workflow value using local usage records, clinician feedback, and verified contract costs. Build an evidence based decision table covering adoption, quality, support burden, and options to expand, hold, or improve the rollout.

中文简介正在准备中。当前显示英语简介。

  • Reviewing adoption after an Abridge rollout
  • Preparing evidence for a renewal decision
  • Comparing workflow outcomes across care settings
jeremylongshore/tons-of-skills-marketplace28672026年10月23日 更新

Prepare a bounded support bundle for an Abridge issue using allowlisted operational details such as versions, coarse timestamps, and correlation references. Exclude recordings, transcripts, patient identifiers, credentials, and unrestricted logs, then document redactions and review details.

中文简介正在准备中。当前显示英语简介。

  • Preparing reviewed evidence for an Abridge support case
  • Documenting redactions and excluded data
  • Collecting approved operational details for an incident
jeremylongshore/tons-of-skills-marketplace28672026年10月23日 更新

查看 jeremylongshore 的全部技能

报告此技能的问题