amp-skill

name	amp-skill
description	Interruption pattern detection and retrieval from Amp thread history. Use for analyzing tool rejection patterns and improving agent behavior.
metadata	{"trit":0,"color":"#26D826"}

Amp-Skill: Interruption Pattern Detection and Retrieval

GF(3) Trit: 0 (ERGODIC - coordination layer) Foundation: DuckDB ACSet from Amp file-changes

Overview

Amp-Skill distills usage patterns from Amp thread history, specifically focusing on interruption patterns where tool suggestions were rejected in favor of:

1. Two-lock processes - user requested confirmation before proceeding
2. Complete discontinuation - user abandoned the thread entirely
3. Reverted operations - user explicitly undid an AI action

Retrieval Benchmark Metrics

Metric	Value
Total Threads	616
Total Tool Calls	2,535
Threads with Interruptions	282 (45.8%)
Reverted Tool Calls	84 (3.3%)
Two-Lock Cascades	47
Complete Discontinuations	22

Interruption Pattern Distribution

Pattern Type	Count	Percentage
abandoned	269	62.4%
reverted	84	19.5%
two_lock	47	10.9%
discontinuation	22	5.1%
high_rejection	9	2.1%

GF(3) Distribution

Role	Threads	Tool Calls	Reverted
MINUS	218	769	27
ERGODIC	209	976	26
PLUS	189	790	31

File Types Most Frequently Reverted

1. .org - 28 reverts (Emacs org-mode files)
2. .py - 20 reverts (Python scripts)
3. .sh - 18 reverts (Shell scripts)
4. .md - 15 reverts (Markdown documentation)

SQL Access

-- Query interruption patterns
SELECT * FROM amp_interruptions ORDER BY ts DESC;

-- Find high-rejection threads
SELECT thread_id, tool_call_count, reverted_count,
       ROUND(100.0 * reverted_count / tool_call_count, 1) as revert_pct
FROM amp_threads
WHERE reverted_count > 0
ORDER BY revert_pct DESC;

-- Detect two-lock cascades
SELECT thread_id, COUNT(*) as consecutive_reverts
FROM amp_interruptions
WHERE pattern_type = 'two_lock'
GROUP BY thread_id
ORDER BY consecutive_reverts DESC;

Key Insights

1. Abandoned Threads (62.4%)

• Single tool call threads indicate quick task completion OR user abandonment
• Requires context analysis to distinguish

2. Two-Lock Cascades (10.9%)

• 47 instances of consecutive reverts within 60 seconds
• Indicates AI attempting same action repeatedly despite rejection
• Action: Implement backoff after 2 consecutive reverts

3. High-Rejection Threads (2.1%)

• 9 threads with >50% revert rate
• Top offender: 100% revert rate on capability-signer-prototype.sh
• Pattern: Security-sensitive code rejected multiple times

4. File Type Sensitivity

• .org files most frequently rejected (28)
• Personal/organizational files have higher rejection rate
• Action: Add confirmation prompt for org-mode edits

Retrieval Benchmark Success Criteria

• All 616 threads loaded from filesystem
• All 2,535 tool calls indexed with metadata
• 5 interruption pattern types detected
• Two-lock pattern detection via SQL windowing
• Discontinuation pattern (thread ends on revert)
• GF(3) conservation (currently imbalanced by 29)

Usage

# Load/refresh Amp threads
bb scripts/amp_thread_loader.bb

# Query via DuckDB
duckdb trit_stream.duckdb "SELECT * FROM amp_interruptions"

Integration with Triadic Protocol

When Amp-Skill detects a high-rejection pattern:

1. MINUS (-1): Validate the rejection pattern
2. ERGODIC (0): Coordinate alternative approaches
3. PLUS (+1): Generate new solution avoiding rejected pattern

Data Sources

• Local: ~/.amp/file-changes/T-* (2,535 files)
• API: None currently (file-changes only contain diffs)
• Potential: Amp GraphQL API for full conversation history