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This skill helps you identify recurring patterns in data or work, document them with evidence, and guide codification when needed.

npx playbooks add skill outfitter-dev/agents --skill patterns

Review the files below or copy the command above to add this skill to your agents.

Files (3)
SKILL.md
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---
name: patterns
description: This skill should be used when recognizing recurring themes, identifying patterns in work or data, or when "pattern", "recurring", or "repeated" are mentioned. For implementation, see codify skill.
metadata:
  version: "1.1.0"
  related-skills:
    - codify
    - codebase-recon
    - report-findings
---

# Pattern Identification

Observe signals → classify patterns → validate with evidence → document findings.

## Steps

1. Collect signals from conversation, code, or data
2. Classify pattern type (workflow, orchestration, heuristic, anti-pattern)
3. Validate against evidence threshold (3+ instances, multiple contexts)
4. Document pattern with constraints and examples
5. If implementation needed, delegate by loading the `outfitter:codify` skill

<when_to_use>

- Recognizing recurring themes in work or data
- Codifying best practices from experience
- Extracting workflows from repeated success
- Identifying anti-patterns from repeated failures
- Building decision frameworks from observations

NOT for: single occurrences, unvalidated hunches, premature abstraction

</when_to_use>

<signal_identification>

Watch for these signal categories:

| Category | Watch For | Indicates |
|----------|-----------|-----------|
| **Success** | Completion, positive feedback, repetition, efficiency | Pattern worth codifying |
| **Frustration** | Backtracking, clarification loops, rework, confusion | Anti-pattern to document |
| **Workflow** | Sequence consistency, decision points, quality gates | Process pattern |
| **Orchestration** | Multi-component coordination, state management, routing | Coordination pattern |

See [signal-types.md](references/signal-types.md) for detailed taxonomy.

</signal_identification>

<pattern_classification>

Four primary pattern types:

| Type | Characteristics | Use When |
|------|-----------------|----------|
| **Workflow** | Sequential stages, clear transitions, quality gates | Process has ordered steps |
| **Orchestration** | Coordinates components, manages state, routes work | Multiple actors involved |
| **Heuristic** | Condition → action mapping, context-sensitive | Repeated decisions |
| **Anti-Pattern** | Common mistake, causes rework, has better alternative | Preventing failures |

See [pattern-types.md](references/pattern-types.md) for templates and examples.

</pattern_classification>

<evidence_thresholds>

## Codification Criteria

Don't codify after first occurrence. Require:
- **3+ instances** — minimum repetition to establish pattern
- **Multiple contexts** — works across different scenarios
- **Clear boundaries** — know when to apply vs not apply
- **Measurable benefit** — improves outcome compared to ad-hoc approach

## Quality Indicators

| Strong Pattern | Weak Pattern |
|----------------|--------------|
| Consistent structure | Varies each use |
| Transferable to others | Requires specific expertise |
| Handles edge cases | Breaks on deviation |
| Saves time/effort | Overhead exceeds value |

</evidence_thresholds>

<progressive_formalization>

**Observation** (1-2 instances):
- Note for future reference
- "This worked well, watch for recurrence"

**Hypothesis** (3+ instances):
- Draft informal guideline
- Test consciously in next case

**Codification** (validated pattern):
- Create formal documentation
- Include examples and constraints

**Refinement** (ongoing):
- Update based on usage
- Add edge cases

</progressive_formalization>

<workflow>

Loop: Observe → Classify → Validate → Document

1. **Collect signals** — note successes, failures, recurring behaviors
2. **Classify pattern type** — workflow, orchestration, heuristic, anti-pattern
3. **Check evidence threshold** — 3+ instances? Multiple contexts?
4. **Extract quality criteria** — what makes it work?
5. **Document pattern** — name, when, what, why
6. **Test deliberately** — apply consciously, track variance
7. **Refine** — adjust based on feedback

</workflow>

<rules>

ALWAYS:
- Require 3+ instances before codifying
- Validate across multiple contexts
- Document both when to use AND when not to
- Include concrete examples
- Track pattern effectiveness over time

NEVER:
- Codify after single occurrence
- Abstract without evidence
- Ignore context-sensitivity
- Skip validation step
- Assume transferability without testing

</rules>

<references>

- [signal-types.md](references/signal-types.md) — detailed signal taxonomy
- [pattern-types.md](references/pattern-types.md) — pattern templates and examples

**Identification vs Implementation**:
- This skill (`patterns`) identifies and documents patterns
- `codify` skill implements patterns as Claude Code components (skills, commands, hooks, agents)

Use `patterns` to answer "what patterns exist?" Use `codify` to answer "how do I turn this into a reusable component?"

</references>

Overview

This skill identifies recurring themes and actionable patterns in conversations, code, or operational data. It helps decide when a behavior is worth codifying, when it is an anti-pattern, and when to defer implementation to a codify workflow. Use it to turn repeated observations into validated, documented guidance.

How this skill works

Collect observable signals (successes, frustrations, workflow cues, orchestration signs) and classify each into one of four types: workflow, orchestration, heuristic, or anti-pattern. Validate candidate patterns against an evidence threshold (minimum 3 instances across multiple contexts), extract quality criteria, and produce concise documentation with constraints and examples. When implementation is required, delegate to the codify process.

When to use it

  • Recognizing recurring themes in work, processes, or telemetry
  • Codifying best practices after repeated success
  • Extracting workflows from repeated successful runs
  • Identifying anti-patterns from repeated failures or rework
  • Building decision frameworks from observed, repeated choices

Best practices

  • Require at least 3 independent instances before drafting a guideline
  • Validate the pattern across multiple contexts, not just one team or project
  • Document both when to apply the pattern and when not to
  • Include concrete examples, constraints, and measurable benefits
  • Track pattern effectiveness over time and refine with new evidence

Example use cases

  • Spotting a repeated handoff step that becomes a standardized workflow
  • Detecting a coordination gap across services that needs orchestration rules
  • Turning a frequently used decision rule into a formal heuristic
  • Logging and remediating a recurring source of rework as an anti-pattern
  • Preparing a validated pattern brief before handing off to implementers

FAQ

When should I not codify something?

Do not codify a behavior after a single occurrence or when context-sensitivity is high and evidence is limited.

What minimum evidence is required?

At least three independent instances plus demonstration across multiple contexts and clear boundaries for applicability.

How do I know if a pattern is transferable?

A strong pattern shows consistent structure, handles edge cases, and yields measurable benefit when used by others.