
investigation-workflow
6-phase investigation workflow for understanding existing systems. Normally executed as a sub-recipe by dev-orchestrator/smart-orchestrator. Supports direct invocation via recipe runner for standalone use.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/rysweet/amplihack --skill investigation-workflow- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads investigation-workflow automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Investigation Workflow Skill
Relationship to Dev Orchestrator
Normal execution path: This workflow is invoked as a sub-recipe by the
dev-orchestrator skill via smart-orchestrator. You do NOT normally need
to activate this skill directly.
User request → dev-orchestrator → smart-orchestrator recipe
→ investigation-workflow recipe (this skill's recipe)
Direct invocation is supported as a compatibility path when the dev-orchestrator is unavailable or when explicitly requested. In that case, use the recipe runner (see Execution Instructions below).
Workflow Graph
flowchart TD
INIT[Initialize Tracking] --> P1
subgraph P1["Phase 1: Scope Definition"]
SCOPE[scope-definition<br/>prompt-writer agent] --> AMB{Has ambiguities?}
AMB -->|yes| CLARIFY[clarify-ambiguities<br/>ambiguity agent]
AMB -->|no| P1_OUT[Scope defined]
CLARIFY --> P1_OUT
end
subgraph P2["Phase 2: Exploration Strategy"]
STRAT[exploration-strategy<br/>architect agent] --> PAST[check-past-investigations<br/>patterns agent]
PAST --> HIST{Historical context needed?}
HIST -->|yes| ARCH[historical-research<br/>knowledge-archaeologist]
HIST -->|no| P2_OUT[Strategy ready]
ARCH --> P2_OUT
end
subgraph P3["Phase 3: Parallel Deep Dives"]
DD1[deep-dive-primary<br/>architect agent]
DD2[deep-dive-secondary<br/>patterns agent]
DD3[deep-dive-tertiary<br/>architect agent]
DD4{Specialist needed?}
DD4 -->|yes| DDS[deep-dive-specialist<br/>security agent]
DD1 & DD2 & DD3 --> CONSOL[consolidate-findings<br/>patterns agent]
DDS --> CONSOL
end
subgraph P4["Phase 4: Verification"]
HYP[formulate-hypotheses<br/>architect agent] --> EXEC[execute-verification<br/>architect agent]
EXEC --> VAL[validate-verification<br/>reviewer agent]
end
subgraph P5["Phase 5: Synthesis"]
PAT[identify-patterns<br/>patterns agent] --> SYN[synthesis<br/>architect agent]
SYN --> VSYN[validate-synthesis<br/>reviewer agent]
end
subgraph P6["Phase 6: Knowledge Capture"]
DISC[update-discoveries] --> PATN{New patterns?}
PATN -->|yes| UPAT[update-patterns]
PATN -->|no| RPT[create-investigation-report]
UPAT --> RPT
end
P1 --> P2 --> P3 --> P4 --> P5 --> P6
RPT --> TRANS[transition-guidance<br/>patterns agent]
TRANS --> EFF[efficiency-report]
EFF --> FINAL[final-output]
TRANS --> TDEV{Transition to dev?}
TDEV -->|yes| DW[Launch default-workflow<br/>recipe via recipe runner]
TDEV -->|no| DONE[Investigation Complete]
Purpose
This skill provides a systematic 6-phase workflow for investigating and understanding existing systems, codebases, and architectures. Unlike development workflows optimized for implementation, this workflow is optimized for exploration, understanding, and knowledge capture.
It is normally executed as a sub-recipe by the dev-orchestrator via smart-orchestrator,
but can also be invoked directly via the recipe runner.
Canonical Sources
- Executable source (recipe):
amplifier-bundle/recipes/investigation-workflow.yaml - Reference documentation:
.claude/workflow/INVESTIGATION_WORKFLOW.md
The recipe YAML is the authoritative execution definition. The .md file serves as
human-readable reference documentation for the workflow phases.
Execution Instructions
Normal path (via dev-orchestrator)
If you reached this skill via dev-orchestrator / smart-orchestrator, the recipe
runner is already managing execution. Do not re-invoke the recipe runner. The
orchestrator handles the full lifecycle including goal-seeking reflection loops.
Direct invocation (standalone)
If this skill is activated directly (not via dev-orchestrator), you MUST use the recipe runner — do NOT read the .md file and follow phases manually:
amplihack recipe run amplifier-bundle/recipes/investigation-workflow.yaml \
-c task_description="TASK_DESCRIPTION_HERE" \
-c repo_path="." \
--verbose
Do NOT read INVESTIGATION_WORKFLOW.md and follow phases manually. The recipe
runner enforces phase ordering, agent deployment, and quality gates that manual
execution cannot replicate.
Preferred: Use dev-orchestrator instead
For most tasks, invoke Skill(skill="dev-orchestrator") or use /dev <task> rather
than activating this skill directly. The dev-orchestrator adds goal-seeking reflection,
workstream decomposition, and adaptive error recovery on top of this workflow.
When to Use This Skill
Investigation Tasks (use this workflow):
- "Investigate how the authentication system works"
- "Explain the neo4j memory integration"
- "Understand why CI is failing consistently"
- "Analyze the reflection system architecture"
- "Research what hooks are triggered during session start"
Development Tasks (use default-workflow recipe instead):
- "Implement OAuth support"
- "Build a new API endpoint"
- "Add feature X"
- "Fix bug Y"
Core Philosophy
Exploration First: Define scope and strategy before diving into code Parallel Deep Dives: Deploy multiple agents simultaneously for efficient information gathering Verification Required: Test understanding through practical application Knowledge Capture: Document findings to prevent repeat investigations
The 6-Phase Investigation Workflow
Phase 1: Scope Definition
Purpose: Define investigation boundaries and success criteria before any exploration.
Tasks:
- FIRST: Identify explicit user requirements - What specific questions must be answered?
- Use prompt-writer agent to clarify investigation scope
- Use ambiguity agent if questions are unclear
- Define what counts as "understanding achieved"
- List specific questions that must be answered
- Set boundaries: What's in scope vs. out of scope
- Estimate investigation depth needed (surface-level vs. deep dive)
Phase 2: Exploration Strategy
Purpose: Plan which agents to deploy and what to investigate, preventing inefficient random exploration.
Tasks:
- Use architect agent to design exploration strategy
- Use patterns agent to check for similar past investigations
- Identify key areas to explore (code paths, configurations, documentation)
- Select specialized agents for parallel deployment in Phase 3
Phase 3: Parallel Deep Dives
Purpose: Deploy multiple exploration agents simultaneously to gather information efficiently.
CRITICAL: This phase uses PARALLEL EXECUTION by default.
Phase 4: Verification & Testing
Purpose: Test and validate understanding through practical application.
Phase 5: Synthesis
Purpose: Compile findings into coherent explanation that answers original questions.
Phase 6: Knowledge Capture
Purpose: Create durable documentation so this investigation never needs to be repeated.
- Store discoveries in memory using
store_discovery()fromamplihack.memory.discoveries - Update .claude/context/PATTERNS.md if reusable patterns found
Transitioning to Development Workflow
After investigation completes, if the task requires implementation, the
dev-orchestrator handles the transition automatically via its goal-seeking
reflection loop. If running standalone, transition by launching the
default-workflow recipe:
amplihack recipe run amplifier-bundle/recipes/default-workflow.yaml \
-c task_description="Implement findings from investigation..." \
-c repo_path="."
Integration with Dev Orchestrator
The dev-orchestrator automatically detects investigation tasks using keywords
and routes them to this workflow's recipe:
User: "/dev investigate how authentication works"
dev-orchestrator: Classified as Investigation → launching investigation-workflow recipe
→ Recipe runner executes 6-phase investigation workflow
→ Results feed into goal-seeking reflection loop
For hybrid tasks (investigate + implement), the dev-orchestrator decomposes into
parallel workstreams: one running investigation-workflow, another running
default-workflow.
Key Principles
- Scope first, explore second - Define boundaries before diving in
- Parallel exploration is key - Deploy multiple agents simultaneously in Phase 3
- Verify understanding - Test your hypotheses in Phase 4
- Capture knowledge - Always store discoveries in memory in Phase 6
- This workflow optimizes for understanding, not implementation
Related Resources
- Recipe (executable):
amplifier-bundle/recipes/investigation-workflow.yaml - Reference docs:
.claude/workflow/INVESTIGATION_WORKFLOW.md - Dev Orchestrator:
.claude/skills/dev-orchestrator/ - Default Workflow:
.claude/skills/default-workflow/ - Agent Catalog:
.claude/agents/amplihack/directory - Pattern Library:
.claude/context/PATTERNS.md
FAQ
What does the investigation-workflow skill do?
6-phase investigation workflow for understanding existing systems. Normally executed as a sub-recipe by dev-orchestrator/smart-orchestrator. Supports direct invocation via recipe runner for standalone use.
How do I install investigation-workflow?
Run npx skills add https://github.com/rysweet/amplihack --skill investigation-workflow in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/investigation-workflow/ (personal) or .claude/skills/investigation-workflow/ (project).
Which AI agents can use investigation-workflow?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is investigation-workflow safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains investigation-workflow?
It is published by rysweet in rysweet/amplihack. It has 248 recorded installs.
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