Menu
Analyze datasets to discover patterns and generate insights
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Close a PROJECT_PLAN with verifiable-assertion gate (V-tests + commits + retrospective), deferred-surface scan for next-plan handoff, and status transition (ACTIVE → COMPLETE / CLOSED / ABANDONED / SUPERSEDED). Strict counterpart to /aget-create-project (D71 Layer 2). Closes asymmetric verb-pair gap at PROJECT_PLAN lifecycle.
Commit a selected candidate goal into a durable, governed Goal artifact. The D71-Strict singular committer of the propose-goals→create-goal verb pair (L1067/L1085). Two-tier (REQ-3): committed goals = a structured section in governance/GOALS.md; aspirational = agent-internal .aget/goals/aspirational.jsonl. Direct authoring of a committed-Goal section is PROHIBITED once this skill is invoked. Implements AGET_GOAL_SPEC v0.2.0 (CAP-GOAL-001..011).
Scaffold approved initiative manifests at planning/initiatives/INIT-*.md. Mirrors /aget-create-project STRICT (D71 Layer 2) — direct Write/Edit to planning/initiatives/ is PROHIBITED once this skill is invoked. Implements SOP_initiative.md (graduated procedure) + future AGET_INITIATIVE_SPEC. Consumes PROPOSAL_init_*.md substrate produced by /aget-propose-initiative.
Create lightweight initiative proposals (PROPOSAL_init_*.md) before full INIT-*.md scaffolding. Follows 'propose -> review -> approve -> create' governance pattern. Advisory enforcement. Implements AGET_INITIATIVE_SPEC v1.0.1 CAP-INIT-PROP-001..012.
Record principal authorization (GO) with Healthy Friction enforcement of the principle-triad (spec+verify-first, coherence-next, evidence-driven); release agent execution within authorized scope. Authorization-only — does not execute the authorized work.
Generate standalone narrative documents from session artifacts, optimized for a target consumption medium (NotebookLM, slides, memo, share-draft). Use when the user says "create briefing", "create a briefing for NotebookLM", "make this listenable", "summarize session for [medium]", "prepare a listen", "brief me on [topic]", or "create a summary I can share".
| name | aget-analyze-data |
| description | Analyze datasets to discover patterns and generate insights |
| archetype | analyst |
| allowed-tools | ["Bash","Read","Glob","Grep"] |
Perform analysis on datasets to discover patterns, trends, and anomalies. Generate actionable insights from data.
When this skill is invoked:
Profile the Dataset
Compute Statistics
Discover Patterns
Generate Insights
## Data Analysis: [Dataset/Topic]
### Dataset Profile
| Attribute | Value |
|-----------|-------|
| Records | [N] |
| Fields | [N] |
| Date Range | [Start - End] |
| Quality | [Good/Fair/Poor] |
### Key Statistics
| Field | Type | Summary |
|-------|------|---------|
| [Field 1] | Numeric | Mean: X, Median: Y, Range: [A-B] |
| [Field 2] | Categorical | Top: [Value] (N%), [Value] (N%) |
### Patterns Discovered
1. **[Pattern Name]**: [Description]
- Evidence: [Data points supporting this]
- Confidence: [High/Medium/Low]
### Anomalies
- [Anomaly 1]: [Description and potential significance]
### Actionable Insights
1. **[Insight]**: [Recommended action based on finding]
### Limitations
- [Limitation 1]: [How it affects conclusions]