Agent Skills: Conversation Analysis

Conversation Analysis

Signal extraction → pattern detection → behavioral insights.

<when_to_use>

• User requests conversation analysis
• Identifying frustration, success, or workflow patterns
• Extracting user preferences and requirements
• Understanding task evolution and iterations

NOT for: real-time monitoring, content generation, single message analysis

</when_to_use>

<signal_taxonomy>

| Type | Subtype | Indicators | |------|---------|------------| | Success | Explicit Praise | "Perfect!", "Exactly what I needed", exclamation marks | | Success | Continuation | "Now do the same for...", building on prior work | | Success | Adoption | User implements suggestion without modification | | Success | Acceptance | "Looks good", "Ship it", "Merge this" | | Frustration | Correction | "No, I meant...", "That's wrong", "Do X instead" | | Frustration | Reversion | User undoes agent changes, "Go back" | | Frustration | Repetition | Same request 2+ times, escalating specificity | | Frustration | Explicit | "This isn't working", "Why did you...", accusatory tone | | Workflow | Sequence | "First...", "Then...", "Finally...", numbered lists | | Workflow | Transition | "Now that X is done, let's Y", stage changes | | Workflow | Tool Chain | Recurring tool usage patterns (Read → Edit → Bash) | | Workflow | Context Switch | Abrupt topic changes, no transition language | | Request | Prohibition | "Don't use X", "Never do Y", "Avoid Z" | | Request | Requirement | "Always check...", "Make sure to...", "You must..." | | Request | Preference | "I prefer...", "It's better to...", comparative language | | Request | Conditional | "If X then Y", "When A, do B", situational rules |

Confidence levels:

• High (0.8–1.0): Explicit keywords match taxonomy, no ambiguity, strong context
• Medium (0.5–0.79): Implicit signal, partial context, minor ambiguity
• Low (0.2–0.49): Ambiguous language, weak context, borderline classification

</signal_taxonomy>

Load the maintain-tasks skill for stage tracking. Stages advance only, never regress.

| Stage | Trigger | activeForm | |-------|---------|------------| | Parse Input | Session start | "Parsing input" | | Extract Signals | Scope validated | "Extracting signals" | | Detect Patterns | Signals extracted | "Detecting patterns" | | Synthesize Report | Patterns detected | "Synthesizing report" |

Task format:

- Parse Input { scope description }
- Extract Signals { from N messages }
- Detect Patterns { category focus }
- Synthesize Report { output format }

Edge cases:

• Small scope (<5 messages): Skip Extract Signals, jump to Synthesize
• Re-analysis: Resume at Detect Patterns
• Narrow focus (single signal type): Skip Detect Patterns

Workflow:

• Start: Create Parse Input in_progress
• Transition: Mark current completed, add next in_progress
• After delivery: Mark Synthesize Report completed

1. Define Scope

   • Message range (all, recent N, date range)
   • Actors (user only, agent only, both)
   • Exclusions (system messages, tool outputs, code blocks)
   • Mark Parse Input completed, create Extract Signals in_progress

2. Extract Signals

   • Scan messages for signal keywords
   • Match against taxonomy
   • Assign confidence (high/medium/low)
   • Record: type, subtype, message_id, timestamp, quote, context
   • Mark Extract Signals completed, create Detect Patterns in_progress

3. Detect Patterns

   • Group signals by type/subtype
   • Find clusters (3+ related signals)
   • Identify evolution (signal changes over time)
   • Track repetition (recurring themes)
   • Spot correlations (tool chains, workflows)
   • Mark Detect Patterns completed, create Synthesize Report in_progress

4. Output

   • Generate JSON with signals, patterns, summary
   • Include confidence, recommendations, action items
   • Append △ Caveats if gaps exist
   • Mark Synthesize Report completed

<pattern_detection>

Behavioral patterns from signal clusters:

| Pattern | Detection | Confidence | |---------|-----------|------------| | Repetition | Same signal 3+ times | Strong: 5+ signals | | Evolution | Signal type changes over time | Moderate: 3-4 signals | | Preferences | Consistent request signals | Strong: across sessions | | Tool Chains | Recurring tool sequences (5+ times) | High: frequent use | | Problem Areas | Clustered frustration signals | Strong: 3+ in same topic |

Temporal patterns:

• Escalation: Increasing frustration/stronger requirements
• De-escalation: Frustration → success transition
• Cyclical: Same issue recurs across sessions

</pattern_detection>

<output_format>

JSON structure:

{
  "analysis": {
    "scope": {
      "message_count": N,
      "date_range": "YYYY-MM-DD to YYYY-MM-DD",
      "actors": ["user", "agent"]
    },
    "signals": [
      {
        "type": "success|frustration|workflow|request",
        "subtype": "specific_subtype",
        "message_id": "msg_123",
        "timestamp": "ISO8601",
        "quote": "exact text",
        "confidence": "high|medium|low",
        "context": "brief explanation"
      }
    ],
    "patterns": [
      {
        "pattern_type": "repetition|evolution|preference|tool_chain",
        "category": "success|frustration|workflow|request",
        "description": "pattern summary",
        "occurrences": N,
        "confidence": "strong|moderate|weak",
        "first_seen": "ISO8601",
        "last_seen": "ISO8601",
        "recommendation": "actionable next step"
      }
    ],
    "summary": {
      "total_signals": N,
      "by_type": { "success": N, "frustration": N, ... },
      "key_insights": ["insight 1", "insight 2"],
      "action_items": ["item 1", "item 2"]
    }
  }
}

</output_format>

ALWAYS:

• Create Parse Input at session start
• Update todos at stage transitions
• Include confidence levels for all signals
• Support patterns with 2+ signals minimum
• Mark Synthesize Report completed after delivery
• Apply recency weighting (recent overrides old)

NEVER:

• Skip stage transitions
• Extract low-confidence signals without marking them
• Claim patterns from single occurrences
• Regress stages
• Deliver without marking final stage complete
• Over-interpret neutral language

• signal-patterns.md — extended taxonomy, edge cases
• extraction-techniques.md — regex, heuristics
• sample-analysis.md — complete walkthrough