Agent skill
get-pattern
Retrieve APPLICATION patterns (architecture, procedures, conventions) from AgentDB skills table. Use BEFORE implementing to ensure consistency.
Stars
163
Forks
31
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/get-pattern-dug-21-neural-data-platform
SKILL.md
Get Pattern - Retrieve Application Knowledge
What This Skill Does
Retrieves established application patterns (architecture, procedures, conventions) for the Neural Data Platform using AgentDB's semantic skill search.
Use this BEFORE implementing anything to ensure you follow project standards.
Quick Reference
bash
# Search for patterns by description
npx agentdb skill search "domain adapter pattern" 5
# Fallback: search reflexion episodes for past experiences
npx agentdb reflexion retrieve "how to add a stream" --k 5 --only-successes
# View all stored patterns
npx agentdb db stats
Primary Method: Skill Search
bash
npx agentdb skill search "<query>" <k>
Parameters
| Parameter | Description |
|---|---|
<query> |
What you're looking for (semantic search) |
<k> |
Number of results (default: 5) |
Examples
bash
# Find architecture patterns
npx agentdb skill search "domain adapter pattern" 5
# Find deployment procedures
npx agentdb skill search "deploy to raspberry pi" 3
# Find naming conventions
npx agentdb skill search "naming conventions streams fields" 3
# Find troubleshooting guides
npx agentdb skill search "mqtt data not appearing" 5
Fallback Method: Reflexion Retrieve
If no skill patterns exist, search past experiences:
bash
npx agentdb reflexion retrieve "<query>" --k 5 --only-successes --synthesize-context
Parameters
| Parameter | Description |
|---|---|
<query> |
Task description to find similar work |
--k |
Number of results |
--only-successes |
Only successful episodes |
--min-reward |
Minimum success score (0-1) |
--synthesize-context |
Generate coherent summary |
Examples
bash
# Find successful similar work
npx agentdb reflexion retrieve "HTTP source implementation" \
--k 5 \
--only-successes \
--min-reward 0.7
# Get synthesized context
npx agentdb reflexion retrieve "timescaledb schema" \
--k 10 \
--synthesize-context
Pattern Categories
| Category | Example Queries |
|---|---|
| Architecture | "domain adapter pattern", "hexagonal architecture" |
| Data Flow | "ingestion pipeline", "bronze silver gold" |
| Development | "add new stream", "implement source trait" |
| Deployment | "docker deployment", "raspberry pi setup" |
| Troubleshooting | "mqtt not working", "parquet write errors" |
| Conventions | "naming conventions", "code organization" |
Interpreting Results
Results from skill search include:
| Field | Meaning |
|---|---|
Name |
Pattern identifier |
Description |
The pattern content |
Success Rate |
How often this pattern succeeded (0-100%) |
Uses |
Number of times used |
High-value patterns: Success Rate > 80% AND Uses > 3
Typical Workflow
bash
# 1. Search for existing patterns
npx agentdb skill search "what I'm about to implement" 5
# 2. If found: Follow the pattern
# 3. If not found: Check reflexion for past experiences
npx agentdb reflexion retrieve "similar task" --k 5 --only-successes
# 4. After work: Record feedback
npx agentdb reflexion store "feature-id" "task" 0.9 true "Pattern worked well"
# 5. If you discovered something new: Save it
npx agentdb skill create "pattern-name" "description" "optional-details"
CRITICAL: Record Pattern Usage
After using a pattern, always use the reflexion skill to record whether it helped:
bash
# Pattern worked well
npx agentdb reflexion store "dp-004" \
"Used domain-adapter pattern for new HTTP source" \
1.0 true \
"Pattern was complete - followed steps exactly, tests passed"
# Pattern needed fixes
npx agentdb reflexion store "dp-004" \
"Used add-stream pattern but needed adjustment" \
0.6 true \
"Pattern missing retention field - should update via save-pattern"
Without feedback, the system can't learn which patterns work.
If No Patterns Found
-
Check pattern stats:
bashnpx agentdb db stats -
Search reflexion episodes:
bashnpx agentdb reflexion retrieve "your query" --k 10 --synthesize-context -
Check file-based documentation:
docs/architecture/- Architecture documentsdocs/procedures/- Step-by-step proceduresproduct/features/*/architecture/- Feature ADRs
-
After implementing, store the new pattern via
save-pattern
The Pattern Workflow
1. BEFORE work: get-pattern → Search for relevant patterns (THIS SKILL)
2. DURING work: Apply the pattern, note what works/gaps
3. AFTER work: reflexion → Record if pattern helped (required)
save-pattern → Store NEW discoveries (if any)
learner → Auto-discover patterns from episodes (periodic)
Related Skills
save-pattern- Store NEW patterns after discovering reusable approachesreflexion- Record feedback on pattern effectiveness (REQUIRED after using patterns)learner- Auto-discover patterns from successful episodes (user-invoked)
What NOT to Use This For
| Don't Search For | Use Instead |
|---|---|
| Current swarm status | claude-flow swarm tools |
| Agent task state | claude-flow task tools |
| Working memory | claude-flow memory tools |
| Session context | claude-flow memory with TTL |
Patterns are PERMANENT application knowledge, not transient swarm state.
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