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config-authoring

Create, modify, review, and harden configuration for the Adobe Dispatcher Apache HTTP Server module and Apache HTTPD in AEM as a Cloud Service environments only. Use for `.any`, vhost, rewrite, cache, and filter changes.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=adobe-skills-plugins-aem-cloud-service-skills-dispatcher-config-authoring-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 config-authoring description Create, modify, review, and harden configuration for the Adobe Dispatcher Apache HTTP Server module and Apache HTTPD in AEM as a Cloud Service environments only. Use for `.any`, vhost, rewrite, cache, and filter changes. license Apache-2.0 compatibility Requires Dispatcher MCP configured for cloud variant (`AEM_DEPLOYMENT_MODE=cloud`). allowed-tools validate lint sdk trace_request inspect_cache monitor_metrics tail_logs metadata {"mcp-tool-contract":"core-7-tools"} Dispatcher Config Authoring (Cloud) Design minimal, deterministic changes for the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration in AEMaaCS, then verify with MCP evidence. Variant Scope This skill is cloud-service-only. Scope is fixed by this skill directory; do not ask the user to choose deployment variant. MCP Tool Contract Use only these Dispatcher MCP tools: validate lint sdk trace_request inspect_cache monitor_metrics tail_logs Workflow Cloud Config Progress - [ ] 1) Confirm scope and acceptance criteria; if the repo layout is unclear, normalize it with `repo-layout-workflows.md` - [ ] 2) Apply cloud guardrails (immutable files, required includes, symlink topology, required wildcard ServerAlias coverage, reserved probe paths, preserved cloud vhost defaults, CDN-vs-Dispatcher boundary) - [ ] 3) Decompose target URLs (path/selectors/extension/suffix) and use that model for all URL-based rules—filters, cache rules, etc.—using `/path`, `/selectors`, `/extension`, `/suffix` or aligned globs (not raw `/url`) where applicable; then design complete section-level edits - [ ] 4) Update config with least-privilege defaults (produce final merged section, not isolated rule snippets) - [ ] 5) Run static checks: validate -> lint (deep/order-aware when filters changed) - [ ] 6) Run SDK checks: `sdk({"action":"check-files","config_path":"<dispatcher src path>"})`, `sdk({"action":"diff-baseline","config_path":"<dispatcher src path>"})` as needed - [ ] 7) Run runtime verification in container-backed environment - [ ] 8) Return diff, evidence table, risk/rollback, and citations Verification Scope Selection Use the shared references to select the minimum evidence set: mode-specific-verification-matrix.md test-case-catalog.md Output Contract Always include: files changed + intent exact insertion location and final merged section content for each edited block checks executed + evidence selected test IDs risk/rollback plan residual risks and next checks Feature cross-boundary (Playbook G) Permission-sensitive caching ( /auth_checker ) is end-to-end: it requires both Dispatcher config and an AEM servlet. When implementing Playbook G from scratch, create or verify the auth-check servlet in the project core bundle (path /bin/permissioncheck , HEAD/GET, 200 or 403) and allowlist it on publish; then add the /auth_checker block, filter allow for the endpoint, and /allowAuthorized "1" in /cache . See config-scenario-playbooks.md Playbook G and reference-snippets.md . Guardrails Do not weaken deny-by-default security posture without explicit user approval. Do not claim runtime verification if container/runtime prerequisites were missing. Keep changes minimal and scoped. Enforce cloud guardrails from cloud-service-aemaacs-guardrails.md before proposing config edits. References config-patterns.md config-scenario-playbooks.md – high-value development scenarios adapted from broader MCP surfaces to core-7 execution reference-snippets.md – reusable starter snippets for consistent config authoring validation-playbook.md mcp-tool-orchestration.md For runtime prompts and troubleshooting scenarios (tail_logs, trace_request, monitor_metrics, inspect_cache), use the incident-response skill reference runtime-prompts-and-troubleshooting-scenarios.md when incident triage is needed. quick-start-execution-path.md – single entry path for new users and broad requests local-sdk-execution.md – shipped local SDK launcher contract for docker_run.sh , hot reload, and runtime env vars repo-layout-workflows.md – map the user repo to the dispatcher src root and likely file families playbook-command-linkage.md – convert selected playbooks into exact MCP command chains mode-specific-verification-matrix.md cloud-service-aemaacs-guardrails.md – cloud-service-only immutable/include/runtime boundary checks from AEMaaCS patterns test-case-catalog.md change-risk-and-rollback-template.md public-doc-citation-rules.md public-docs-index.md core-7-tools-reference.md
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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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