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Post Scenario Completion (Microsoft)
Generic guidance for presenting scenario completion and next-step recommendations to the user
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$ curl -fsSL https://arboristhree.xyz/cli/install-skill.mjs -o /tmp/arboris-install-skill.mjs && node /tmp/arboris-install-skill.mjs post-scenario-completion__microsoft-upgrade-agent-plugins__plugins-upgrade-agent-upgrade-skills-system-607176711c8dMicrosoft
microsoft/upgrade-agent-plugins
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---
name: post-scenario-completion
description: Generic guidance for presenting scenario completion and next-step recommendations to the user
metadata:
origin: Microsoft
discovery: system
---
# Post-Scenario Completion
Apply this guidance whenever a scenario completes (when `complete_task` returns `allTasksComplete: true`).
## 1. Present a completion summary
Show the user a concise summary of what just happened. Structure it as:
```
✅ **{Scenario name} complete**
**What changed:** {N} tasks completed across {M} projects.
{If failures exist: ⚠️ {F} tasks encountered issues — see details below.}
```
Keep it to 3–5 lines. This is an orientation, not a report. Do not list every file changed.
## 2. Highlight failures (if any)
If `blockedTasks` or failed tasks were present at completion:
- List them with a one-line description of what failed
- Do NOT paper over failures — the user needs to know what requires manual attention
## 3. Build the "Next Steps" section
The next-steps section combines **scenario-specific suggestions** (from the scenario's `post-completion.md`) with **generic actions** (defined below). You must present them in a single, consistently formatted block.
### Step 3a — Load scenario-specific suggestions
If the tool result includes `postCompletionInstructionsPath`, read that file. It contains:
- **Applicability checks** the agent MUST perform before including each suggestion (e.g., check whether a package is present, read scenario-instructions.md for recorded decisions). Only include suggestions whose conditions are met.
- **Description text** for each applicable suggestion.
⚠️ **You are the filter.** The scenario file lists *candidate* suggestions — you must verify each one against the actual project state. Never present a suggestion without first confirming it applies. If none of the scenario-specific suggestions apply, skip this part entirely — do not show an empty section.
**Use `detectedSignals` to shortcut applicability checks.** When `complete_task` returns a `detectedSignals` field, use those pre-computed signals to determine applicability instead of scanning files with the LLM. For example, if signals include `NeedsEfCoreUpgrade`, you know EF6 is present without reading project files. Only fall back to LLM-based discovery when no relevant signal exists for a given check. Never tell the user you are checking signals or that "no signals are available" — this is an internal optimization invisible to the user.
### Step 3b — Append generic actions (always included)
After any scenario-specific suggestions, always append these two items:
1. **Generate detailed change report**
2. **Discover more opportunities**
### Step 3c — Format everything using the template below
Present the heading `🚀 Next Steps`, then each item as a block separated by `---`. Use this exact structure:
```
🚀 Next Steps
{emoji} **{Title}**
{1–3 sentence description explaining what this does and why it's valuable.}
Would you like me to {action verb phrase}?
---
📊 **Generate detailed change report**
I can generate a comprehensive report summarizing everything that was upgraded, including all files changed, decisions made, and validation results.
Would you like me to generate the detailed change report?
---
🔍 **Discover more modernization opportunities**
Want me to scan your solution for other modernization opportunities?
```
**Formatting rules:**
- If the user accepts the report offer, **dispatch the ReportGenerator worker** — do not write the
report yourself and do not load a report skill. Pass the scenario folder, scenario name, and the
detected signals. Relay the path it returns.
- If the user accepts the discovery offer, dispatch the **ScenarioDiscovery** worker and present its cards verbatim
- Each suggestion gets a relevant emoji, bold title, description paragraph, and a CTA question
- Separate items with `---`
- Scenario-specific suggestions come first, generic actions last
- The description should help the user understand *why* they'd want this — not just *what* it is
## 4. Wait for user input
After presenting the summary and next steps, **stop and wait**. Do not automatically start the next scenario. The user drives what happens next.Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Post Scenario Completion (Microsoft)
List them with a one-line description of what failed
Do NOT paper over failures — the user needs to know what requires manual attention
**Applicability checks** the agent MUST perform before including each suggestion (e.g., check whether a package is present, read scenario-instructions.md for recorded decisions). Only include suggestions whose conditions are met.
**Description text** for each applicable suggestion.
Comment utiliser Post Scenario Completion (Microsoft)
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Post Scenario Completion (Microsoft)
Dis simplement à ton agent quelque chose comme :
Applique le skill post-scenario-completion__microsoft-upgrade-agent-plugins__plugins-upgrade-agent-upgrade-skills-system-607176711c8d à cette tâche
Utilise post-scenario-completion__microsoft-upgrade-agent-plugins__plugins-upgrade-agent-upgrade-skills-system-607176711c8d pour améliorer cette implémentation
Passe en revue ce sujet avec post-scenario-completion__microsoft-upgrade-agent-plugins__plugins-upgrade-agent-upgrade-skills-system-607176711c8d
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