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Friction Analysis Orchestrator

analyze-friction

Orchestrate 3-stage friction analysis workflow across conversations. Extracts raw friction, abstracts patterns, and presents for approval. Use when user wants to analyze conversation history for improvement opportunities.

SKILL.md

Full skill instructions

Friction Analysis Orchestrator

Orchestrates a 3-stage workflow to analyze conversation friction and extract actionable patterns.

Arguments

  • --count N - Number of conversations to analyze (default: 15)

Overview

StageAgentPurpose
1conversation-friction-analyzerExtract raw friction from individual conversations (parallel)
2friction-pattern-abstractorAggregate and abstract patterns across all raw outputs
3(orchestrator)Present patterns to user for point-by-point approval

Workflow

Stage 0: Preparation

  1. Parse arguments for --count N (default 15)
  2. Check existing files in docs/​friction-analysis/​raw/ to determine which conversations are already processed
  3. Calculate which conversations need analysis (skip index 0 - current session)
# List existing raw files
ls docs/​friction-analysis/​raw/ 2>/​dev/​null || echo "No existing files"

Stage 1: Raw Friction Extraction (Parallel)

For each conversation index from 1 to N (skipping 0 which is current session):

  1. Check if docs/​friction-analysis/​raw/​{conversation-id}.md already exists
  2. If not exists, spawn a conversation-friction-analyzer agent:
Spawn agents in parallel (up to 15 concurrent):

For conversation at index I (where I = 1 to count):
  - Extract conversation: `aaa extract-conversations --limit 1 --skip I`
  - Pass to conversation-friction-analyzer agent
  - Agent saves output to docs/​friction-analysis/​raw/​{conversation-id}.md

Sub-agent prompt template:

Analyze this conversation for friction points. Extract RAW friction only - no abstraction.

CONVERSATION:
<output from aaa extract-conversations --limit 1 --skip {index}>

Save your analysis to: docs/​friction-analysis/​raw/​{conversation-id}.md

Resumability: Always check for existing files before spawning agents. Skip conversations that already have raw output files.

Stage 2: Pattern Abstraction (Sequential)

After ALL Stage 1 agents complete:

  1. Verify all expected raw files exist in docs/​friction-analysis/​raw/
  2. Spawn single friction-pattern-abstractor agent:
Analyze all raw friction files and extract patterns.

Input directory: docs/​friction-analysis/​raw/
Output file: docs/​friction-analysis/​patterns.md

Wait for completion before proceeding.

Stage 3: User Approval

  1. Read the generated docs/​friction-analysis/​patterns.md
  2. For EACH pattern identified, use AskUserQuestion to get approval:
Pattern: [Pattern Name]
Root Cause: [description]
Evidence: [list of conversation IDs]
Proposed Fix: [description]

Options:
- Approve - proceed with this fix
- Modify - adjust the proposed fix
- Skip - don't implement this pattern
- Stop - end the approval process
  1. Collect approved patterns
  2. Output summary of approved patterns for implementation

Output Structure

docs/​friction-analysis/
├── raw/
│   ├── {conversation-id-1}.md    # Stage 1 output
│   ├── {conversation-id-2}.md
│   └── ...
└── patterns.md                    # Stage 2 output

Error Handling

  • If aaa extract-conversations fails for a conversation, log and continue with others
  • If Stage 1 produces no raw files, abort with message "No friction found to analyze"
  • If Stage 2 fails, check raw files exist and retry

Completion

After Stage 3, output:

## Friction Analysis Complete

**Analyzed:** N conversations
**Patterns Found:** M
**Patterns Approved:** K

### Approved Patterns

1. [Pattern Name] - [Proposed Fix Summary]
2. ...

### Next Steps

[Implementation guidance for approved patterns]

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