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agentic-workflow-designer

Conversational skill that interviews users to design new agentic workflows

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dotnet/open-xml-sdk
Dernière activité de la source
17 juin 2026 à 16:18
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SKILL.md
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name
agentic-workflow-designer
description
Conversational skill that interviews users to design new agentic workflows
disable-model-invocation
true
# Workflow Designer Use this skill to run a structured interview with users who know their goal but not the workflow syntax yet, then generate one complete workflow `.md` file. ## When to Use This Skill Use this before `.github/aw/create-agentic-workflow.md` when requirements are unclear or incomplete. - Use `skills/agentic-workflow-designer/SKILL.md` to discover and confirm requirements. - Use `.github/aw/create-agentic-workflow.md` once requirements are clear and ready for implementation. - Use `.github/aw/agentic-chat.md` when the user wants a specification/pseudo-code instead of a runnable workflow file. ## Interview Framework Ask one question at a time. Move to the next phase only after the current phase is clear. ### Phase 1: Goal Ask: **"What do you want to automate?"** Capture: - Workflow name (kebab-case candidate) - Brief description - Optional emoji ### Phase 2: Trigger Ask: **"When should this run?"** Follow up only if needed: - Which event type(s)? - Any filters (labels, branches, commands)? - Scheduled cadence (daily/weekly/hourly)? Map to the `on:` block. ### Phase 3: Scope (Read/Write) Ask: - **"What should it read?"** (issues, PRs, code, discussions, CI data) - **"What should it create or update?"** (comments, issues, PRs, labels) Map to: - `permissions:` (keep read-only for agent job) - `tools:` - `safe-outputs:` ### Phase 4: Data Strategy Ask: - **"What data does the agent need to make decisions?"** - Follow up: **"Can we pre-fetch and aggregate that data with shell commands so the agent only reads compact JSON?"** Capture: - Whether `steps:` should pre-fetch GitHub data with `gh` + `jq` - Output paths under `/tmp/gh-aw/data/` - Whether batch work should use sub-agents Map to: - `steps:` - Prompt references to pre-computed file paths ### Phase 5: Guardrails Ask: **"Should it block merging, just advise, or silently log?"** Capture: - Visibility expectations (comment, issue, no visible output) - No-op behavior expectation Guide toward safe output behavior and explicit `noop` instructions. ### Phase 6: Context & Network Ask: **"Does it need external APIs, web access, package installs, or MCP servers?"** Follow up: - **"Any third-party services or MCP servers to include (for example Slack, Jira, Datadog, custom internal MCP)?"** - **"Are you deploying on GitHub.com, GHEC with custom endpoints, or GHES?"** - For each integration, identify required auth from source docs and map it to GitHub Actions secrets + workflow env variables. - Ask for exact external domains (FQDN/wildcard). Map to: - `network.allowed` - Optional MCP/GitHub tool usage in `tools:` - `secrets:` / `env:` wiring for integration tokens - GHES/GHEC settings such as `engine.api-target` and `aw.json` `ghes: true` (when applicable) ### Phase 7: Engine (optional) Ask only if ambiguous: **"Any AI engine preference?"** If no preference, suggest default: - "I'd suggest Copilot since you haven't mentioned a preference. Sound good?" Map to `engine:` only when not default. ### Phase 8: Confirmation Present a structured summary and ask for approval before generation. ## Decision Heuristics ### Trigger Mapping | User says... | Maps to | |---|---| | "when someone opens a PR" | `on: pull_request:` with `types: [opened]` | | "when a PR is updated" | `on: pull_request:` with `types: [opened, synchronize]` | | "every morning", "daily" | fuzzy schedule shorthand `on: schedule: daily on weekdays` (compiler expands to cron) | | "every Monday", "weekly" | fuzzy schedule shorthand `on: schedule: weekly` (compiler expands to cron) | | "when I say /review" | `on: slash_command:` with `name: review` (or requested command) | | "when an issue is labeled bug" | `on: issues:` with `types: [labeled]` and label filter guidance | | "run when label ai-review is added" | `on: label_command:` with `name`/`names`, optional event scoping, and label-as-command semantics | | "run on PRs from forks" | `on: pull_request:` plus explicit `forks:` allowlist and fork security guardrails | | "sometimes automatic, sometimes manual" | semi-active pattern: combine `schedule`/event triggers with `workflow_dispatch` | | "manually", "on demand" | `on: workflow_dispatch:` | | "when a deployment fails" | `on: deployment_status:` | | "when another workflow finishes" | `on: workflow_run:` | ### Safe Output Mapping | User says... | Maps to | |---|---| | "post a comment" | `add-comment` | | "create an issue" | `create-issue` | | "update issue title/body" | `update-issue` | | "close the issue" | `close-issue` | | "assign someone", "remove assignment" | `assign-to-user`, `unassign-from-user` | | "set issue type/field/milestone" | `set-issue-type`, `set-issue-field`, `assign-milestone` | | "open a PR", "submit changes" | `create-pull-request` | | "update PR description/title" | `update-pull-request` | | "close the PR", "merge the PR" | `close-pull-request`, `merge-pull-request` | | "mark PR ready", "sync PR branch" | `mark-pull-request-as-ready-for-review`, `update-branch` | | "commit a fix to the PR branch" | `push-to-pull-request-branch` | | "approve / request changes" | `submit-pull-request-review` | | "inline review comment", "reply to review thread" | `create-pull-request-review-comment`, `reply-to-pull-request-review-comment`, `resolve-pull-request-review-thread` | | "start or edit discussion", "close discussion" | `create-discussion`, `update-discussion`, `close-discussion` | | "request reviewer", "hide comment" | `add-reviewer`, `hide-comment` | | "create/update project", "project status update" | `create-project`, `update-project`, `create-project-status-update` | | "update release", "upload release asset" | `update-release`, `upload-asset` | | "create/auto-fix code scan alert" | `create-code-scanning-alert`, `autofix-code-scanning-alert` | | "start an agent session", "assign to an agent" | `create-agent-session`, `assign-to-agent` | | "store persistent memory comment" | `comment-memory` | | "link a sub-issue" | `link-sub-issue` | | "add labels", "remove labels" | `add-labels`, `remove-labels` | | "nothing visible", "just analyze" | no safe outputs required | ### Network Mapping | User says... | Maps to | |---|---| | "calls an external API" | ask for exact FQDN/wildcard, then add to `network.allowed` | | "installs npm packages" | include `node` in `network.allowed` | | "runs pip install" | include `python` in `network.allowed` | | "builds Go code" | include `go` in `network.allowed` | | "no external access" | `network.allowed: [defaults]` (or `[]` if explicitly zero network) | ### Tool Mapping | User says... | Maps to | |---|---| | "read GitHub issues/PRs/workflows" | `tools.github` with `mode: gh-proxy` and minimal `toolsets` | | "use full MCP server/tool definitions" | `tools.github` with `mode: local` | | "use other MCP servers but keep token cost down" | `tools.cli-proxy: true` (hybrid CLI-proxy mode) | | "edit files" | `edit` tool (default unless restricted) | | "run commands/tests" | `bash` tool (default unless restricted) | | "browse web pages/docs" | `web-fetch` and/or `web-search` | | "test UI flows" | `playwright` | ### Pattern Heuristics | User says... | Recommended named pattern | |---|---| | "triage issues automatically" | `IssueOps` | | "run on /commands with human approval loops" | `ChatOps` | | "run every weekday and keep improving" | `DailyOps` | | "monitor workflow failures and trends" | `MonitorOps` | | "process a big backlog in chunks" | `BatchOps` | | "run manually with input parameters" | `DispatchOps` | ### Integration Auth Mapping When the user names a third-party service or MCP server: 1. Confirm whether native tool, MCP server, or safe-output job is the right integration path. 2. Look up the integration's auth requirements and required scopes before finalizing the design. 3. Provide a concrete setup checklist with: - required GitHub Actions secrets (names to create) - workflow env variables that consume those secrets - minimum token scopes/permissions needed Output format to use: ```text Integration auth setup: - <service-or-mcp>: <purpose> - Secrets to create: <SECRET_NAME>, <SECRET_NAME> - Workflow env vars: <ENV_VAR>=${{ secrets.<SECRET_NAME> }} - Required scopes/permissions: <least-privilege scopes> ``` Never suggest committing plaintext tokens. ### Data Strategy Mapping | User says... | Maps to | |---|---| | "analyze PRs", "review issues", "check status" | add `steps:` that pre-fetch with `gh` + `jq` | | "read the diff", "look at changed files" | add `steps:` using `gh pr diff` or `gh pr view --json files` | | "search for patterns across repos" | add `steps:` using `gh search` + `jq` filters | | "just respond to a comment" | no pre-fetch needed (event payload is enough) | | "process each item individually" | suggest sub-agent pattern with `model: small` | ## Token Optimization Defaults Apply these defaults unless the user explicitly asks otherwise: 1. Use DataOps by default for GitHub reads: pre-fetch/aggregate with `gh` + `jq` in `steps:`, store compact JSON in `/tmp/gh-aw/data/`, and point the prompt to those files (see `.github/aw/token-optimization.md` for details). 2. Keep tool surface minimal: default to `tools.github.mode: gh-proxy`, include only required toolsets, and prefer `bash` + `gh` for simple reads. 3. For batch workloads, split items into compact data and suggest sub-agent processing with `model: small`. 4. Keep prompts compact: concise imperative instructions, explicit file paths, single-line `noop` guidance, and stable instructions before dynamic content. ## Progressive Disclosure Rules 1. Never dump all options at once; ask one targeted question at a time. 2. Skip questions when answers are inferable from prior user statements. 3. Offer smart defaults and request confirmation instead of over-questioning. 4. Ask at most 5 questions before presenting a summary; then ask "anything else?" if needed. 5. Detect done signals (`that's it`, `looks good`, `generate it`) and proceed to generation. ## Confirmation Format Use this exact structure: ```text 📋 Proposed workflow: - Name: <workflow-id> - Trigger: <event + key options> - Engine: <engine or default> - Tools: <tool summary> - Safe outputs: <list or none> - Network: <allowed summary> - Integrations/Auth: <service/mcp + required secrets/env vars> - Deployment: <GitHub.com or GHEC/GHES details> - Intent: <one-sentence task> ``` Then ask: **"Ready to generate, or want to adjust anything?"** ## Generation Template After confirmation, generate one workflow file using the same skeleton style as `.github/aw/create-agentic-workflow.md`. ```markdown --- emoji: <emoji> description: <brief description> on: <trigger config> permissions: contents: read issues: read pull-requests: read tools: github: mode: gh-proxy toolsets: [default] steps: - name: <optional data prefetch> run: | mkdir -p /tmp/gh-aw/data <gh + jq commands that produce compact JSON> safe-outputs: <safe-output-types-if-needed> network: allowed: - defaults - <additional entries if needed> --- # <Workflow Name> ## Task <clear instructions tied to trigger context> If `steps:` includes pre-fetch commands, read the resulting `/tmp/gh-aw/data/*.json` files instead of broad live re-fetches. ## Safe Outputs - Use configured safe outputs for all visible write actions. - Call `noop` with a short reason when no action is needed. ``` ## Validation Checklist Before final output, run this internal self-check: - [ ] Agent job permissions remain read-only (writes only via safe outputs) - [ ] `safe-outputs:` covers every write action mentioned in prompt/instructions - [ ] Network access is scoped; avoid blanket wildcard entries - [ ] Trigger matches the user's intended activation event - [ ] Prompt instructs agent to call `noop` when no action is needed - [ ] Unnecessary defaults are omitted (for example `engine: copilot`) - [ ] If reading GitHub data, `steps:` pre-fetches compact JSON (DataOps) - [ ] `tools.github.mode` is `gh-proxy` unless broader MCP toolsets are explicitly needed - [ ] Only required toolsets are listed (avoid blanket toolset lists) - [ ] Prompt references specific pre-computed file paths - [ ] For batch processing (>5 items), sub-agent pattern is suggested - [ ] For each third-party service/MCP integration, required secrets/env vars are listed - [ ] Auth guidance includes least-privilege token scope recommendations - [ ] For GHEC/GHES deployments, `engine.api-target` and GHES compatibility guidance are included when needed ## References (load only when needed) In-repo references: - `.github/aw/syntax.md` (index → `.github/aw/syntax-core.md`, `.github/aw/syntax-agentic.md`, `.github/aw/syntax-tools-imports.md`)
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