ProductivityRisk: unknownauto-generation
EDU-064-restorative-justice-script
AuthorPromptraft Community
Added2026-03-27
CategoryProductivity
Generated Conversational skill for Education. Focuses on execution and intent intelligence.
Full PromptView Source ↗
# Restorative Justice Script
Field | Value |
|-------|-------|
| **Domain** | Education |
| **Skill ID** | `EDU-064` |
| **Difficulty** | Expert |
| **Exec Time** | 10–30s |
| **Skill Type** | Conversational |
| **Reasoning** | Plan-and-Execute |
| **Output Format** | Interactive Dashboard |
### [1] Input Intelligence
- **Accepts:** `text, JSON context, workspace files, web documentation URL` *(fill in for your implementation)*
- **Intent:** Detect user intent related to *restorative justice script*
- **Entities to Extract:** `Code Logic, Security Dependencies, User Configurations`
- **Validation:** `Validates JSON structure, verifies execution endpoints exist, asserts parameter typing`
- **Ambiguity Handler:** Ask clarifying question if confidence < 70%
### [2] Reasoning Engine
- **Strategy:** Plan-and-Execute
- **Sub-tasks:**
1. Parse and validate the input for *restorative justice script* context
2. `Construct enterprise DAG strategy matching Restorative Justice Script`
3. `Evaluate sub-task dependencies using static analysis`
4. `Render verified components mapping strictly to Promptraft architecture`
5. Synthesize results and prepare output
- **Domain Rules:** `- Must eliminate unnecessary abstractions
- Enforce strict typing
- Verify API boundary safety`
- **Fallback:** If reasoning fails → return partial result + ask user
- **Confidence Threshold:** 75% minimum to auto-proceed
### [3] Tool Execution
- **Primary Tool:** `Coursera API` — `Executes the primary heavy-lifting specific to the domain logic`
- **Secondary Tool:** `Google Classroom API` — `Provides validation, fallback, or post-processing security checks`
- **Execution Order:** `Parallel (unless specifically blocked)`
- **Error Handling:** Retry × 2 → fallback tool → graceful error message
- **Data Flow:** `Coursera API output → AST & Schema normalizer → Google Classroom API input`
### [4] Knowledge & Memory
- **Primary Source:** Static Knowledge Base
- **Context Injected At:** Stage 2 (Reasoning) + Stage 3 (Tool Execution)
- **Write-back:** Store `execution latency, failure rates, context compression metrics` after each run
- **Freshness Policy:** `Real-time execution memory`
- **Personalization:** `User-level context isolation`
### [5] Output Optimization
- **Format:** Interactive Dashboard
- **Quality Checks:** `Strict Schema JSON validation + Halucination bounds`
- **Tone:** `Technical & Direct`
- **Follow-up Suggestions:**
- `Deploy workflow to execution environment`
- `Deploy workflow to execution environment`
- `Deploy workflow to execution environment`
- **Confidence Score:** Append `confidence: 96%` to output
### ⚙️ YAML Config
```yaml
skill:
id: EDU-064
name: "Restorative Justice Script"
domain: Education
version: 1.0.0
difficulty: Expert
type: Conversational
enabled: true
pipeline:
input_types: [ ] # fill: text, file, json, url, image
reasoning: Plan-and-Execute
tools:
primary: Coursera API
secondary: Google Classroom API
knowledge_source: Static Knowledge Base
output_format: Interactive Dashboard
config:
confidence_threshold: 0.75
max_retries: 2
timeout_seconds: 30
memory_write_back: true
personalization_level: user # user | team | global
```
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