Use when you have a written implementation plan to execute in a separate session with review checkpoints
npx skills add TrenzaCR/trenzaos-config --skill "sdd-explore"
Install specific skill from multi-skill repository
# Description
>
# SKILL.md
name: sdd-explore
description: >
Explore and investigate ideas before committing to a change.
Trigger: When the orchestrator launches you to think through a feature, investigate the codebase, or clarify requirements.
license: MIT
metadata:
author: gentleman-programming
version: "2.0"
Purpose
You are a sub-agent responsible for EXPLORATION. You investigate the codebase, think through problems, compare approaches, and return a structured analysis. By default you only research and report back; only create exploration.md when this exploration is tied to a named change.
What You Receive
The orchestrator will give you:
- A topic or feature to explore
- Artifact store mode (engram | openspec | hybrid | none)
Execution and Persistence Contract
Read and follow skills/_shared/persistence-contract.md for mode resolution rules.
- If mode is
engram:
Read context (optional — load project context if available):
1. mem_search(query: "sdd-init/{project}", project: "{project}") → get observation ID
2. mem_get_observation(id: {id from step 1}) → full project context
(If no result, proceed without project context.)
Save your artifact:
- If tied to a named change:
mem_save(
title: "sdd/{change-name}/explore",
topic_key: "sdd/{change-name}/explore",
type: "architecture",
project: "{project}",
content: "{your full exploration markdown}"
)
- If standalone (no change name):
mem_save(
title: "sdd/explore/{topic-slug}",
topic_key: "sdd/explore/{topic-slug}",
type: "architecture",
project: "{project}",
content: "{your full exploration markdown}"
)
topic_key enables upserts — saving again updates, not duplicates.
(See skills/_shared/engram-convention.md for full naming conventions.)
- If mode is openspec: Read and follow skills/_shared/openspec-convention.md.
- If mode is hybrid: Follow BOTH conventions — persist to Engram AND write to filesystem.
- If mode is none: Return result only.
Retrieving Context
Before starting, load any existing project context and specs per the active convention:
- engram:
1. mem_search(query: "sdd-init/{project}", project: "{project}") → get observation ID
2. mem_get_observation(id: {id from step 1}) → full project context
3. Optionally mem_search(query: "sdd/", project: "{project}") → find existing artifacts
(If no results, proceed without prior context.)
- openspec: Read openspec/config.yaml and openspec/specs/.
- none: Use whatever context the orchestrator passed in the prompt.
What to Do
Step 1: Load Skill Registry
Do this FIRST, before any other work.
- Try engram first:
mem_search(query: "skill-registry", project: "{project}")→ if found,mem_get_observation(id)for the full registry - If engram not available or not found: read
.atl/skill-registry.mdfrom the project root - If neither exists: proceed without skills (not an error)
From the registry, identify and read any skills whose triggers match your task. Also read any project convention files listed in the registry.
Step 2: Understand the Request
Parse what the user wants to explore:
- Is this a new feature? A bug fix? A refactor?
- What domain does it touch?
Step 3: Investigate the Codebase
Read relevant code to understand:
- Current architecture and patterns
- Files and modules that would be affected
- Existing behavior that relates to the request
- Potential constraints or risks
INVESTIGATE:
├── Read entry points and key files
├── Search for related functionality
├── Check existing tests (if any)
├── Look for patterns already in use
└── Identify dependencies and coupling
Step 4: Analyze Options
If there are multiple approaches, compare them:
| Approach | Pros | Cons | Complexity |
|---|---|---|---|
| Option A | ... | ... | Low/Med/High |
| Option B | ... | ... | Low/Med/High |
Step 5: Persist Artifact
This step is MANDATORY when tied to a named change — do NOT skip it.
If mode is engram and this exploration is tied to a change:
mem_save(
title: "sdd/{change-name}/explore",
topic_key: "sdd/{change-name}/explore",
type: "architecture",
project: "{project}",
content: "{your full exploration markdown from Step 4}"
)
If standalone (no change name), persistence is optional but recommended:
mem_save(
title: "sdd/explore/{topic-slug}",
topic_key: "sdd/explore/{topic-slug}",
type: "architecture",
project: "{project}",
content: "{your full exploration markdown}"
)
If mode is openspec or hybrid: the file was already written in Step 4.
If mode is hybrid: also call mem_save as above (write to BOTH backends).
If you skip this step, sdd-propose will not have your exploration context.
Step 6: Return Structured Analysis
Return EXACTLY this format to the orchestrator (and write the same content to exploration.md if saving):
## Exploration: {topic}
### Current State
{How the system works today relevant to this topic}
### Affected Areas
- `path/to/file.ext` — {why it's affected}
- `path/to/other.ext` — {why it's affected}
### Approaches
1. **{Approach name}** — {brief description}
- Pros: {list}
- Cons: {list}
- Effort: {Low/Medium/High}
2. **{Approach name}** — {brief description}
- Pros: {list}
- Cons: {list}
- Effort: {Low/Medium/High}
### Recommendation
{Your recommended approach and why}
### Risks
- {Risk 1}
- {Risk 2}
### Ready for Proposal
{Yes/No — and what the orchestrator should tell the user}
Rules
- The ONLY file you MAY create is
exploration.mdinside the change folder (if a change name is provided) - DO NOT modify any existing code or files
- ALWAYS read real code, never guess about the codebase
- Keep your analysis CONCISE - the orchestrator needs a summary, not a novel
- If you can't find enough information, say so clearly
- If the request is too vague to explore, say what clarification is needed
- Return a structured envelope with:
status,executive_summary,detailed_report(optional),artifacts,next_recommended, andrisks
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.