pattern-search
Use to find captured patterns relevant to current work. "Have we got a pattern for X", "show me how we usually do Y". Searches memory for kind:pattern entries.
What this skill does
# pattern-search
Find captured patterns. Specifically targets `kind: pattern` entries; doesn't drown in generic memory.
## Method
1. **Query.** What pattern do you need? Express as the problem ("paginated query results", "bulk-safe trigger handler", "OAuth callback flow").
2. **Search:** `mem_search { query, kind: "pattern", k: 5 }`.
3. **Apply.** For each hit:
- Read the pattern body
- Verify it still makes sense in current code (patterns can rot)
- Apply or adapt
## Output shape
```
Query: <user's intent>
Hits:
Pattern: <name>
Problem: <one-line>
Source: <file:line / commit>
Match score: <relevance>
Pattern: <name>
...
Recommendation:
Apply <pattern name>: it fits because <evidence in current context>.
If none fit:
No matching pattern. Consider /siftcoder:pattern-learn to capture this approach
if it's worth keeping.
```
## Rules
- **Verify before apply.** Pattern was captured at a point in time; check it still applies (file paths exist, syntax current, etc.).
- **Adapt explicitly.** If the pattern needs tweaking, surface the diff between captured shape and intended use.
- **No-match is fine.** "No pattern for this" is a signal to consider `/pattern-learn` after the work.
## Anti-patterns
- Applying a stale pattern without verification
- Forcing a pattern to fit when it doesn't
- Searching for patterns that don't exist yet (over-eager retrieval)
## When NOT to use
- One-off scratch work
- Greenfield with no patterns captured yet
- Generic best practice — that's a skill, not a pattern
## Subagent dispatch
- Memory MCP exclusively (`mem_search` with `kind: pattern` filter)
- Optional `general-purpose` to verify the pattern still applies
## Value over native CC
CC will discuss patterns. CC won't naturally retrieve project-specific captured patterns from memory. The retrieval IS the value.
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