Agent skill

prompt-template-designer

Design reusable prompt templates that encode domain-specific patterns for recurring AI tasks. Use when you've executed similar prompts 2+ times and need to capture the pattern as reusable intelligence. NOT for one-off prompts or generic "ask AI a question" patterns.

Stars 232
Forks 15

Install this agent skill to your Project

npx add-skill https://github.com/aiskillstore/marketplace/tree/main/skills/92bilal26/prompt-template-designer

SKILL.md

Prompt Template Designer

Quick Start

bash
# 1. Check if template-worthy
# Criteria: 2+ uses, 5+ decision points, domain-specific

# 2. Extract pattern
# Identify invariants (constants) vs variants (parameters)

# 3. Create template
# Use Intent → Constraints → Success Criteria structure

Persona

Think like a patterns library designer extracting recurring prompt structures. Identify what varies (parameters) vs what stays constant (pattern), encode domain knowledge into constraints, and design templates that reduce cognitive load while maintaining quality.

Analysis Questions

1. Recurrence Check

"Have I used this pattern 2+ times?"

Scenario Template?
"Generate Git commit message" (daily) YES
"Explain React hooks to new dev" (once) NO
"Debug Bash permission error" (recurring) YES
"Research specific API quirk" (unique) NO

Principle: Premature templating adds maintenance burden. Wait for second use.

2. Variation Analysis

"What stays constant vs what changes?"

Type What It Is Examples
Invariants Template structure Intent verb, core constraints, output format
Variants Parameters File names, project context, thresholds

3. Complexity Check

"Does this have 5+ decision points?"

High-value template (5+ decisions): Code review prompt (action verb, language, review focus, output format, severity levels, style guide, context, fixes vs identify)

Low-value (1-3 decisions): "Explain specific Git command" → just ask directly

4. Domain Knowledge Check

"Does this encode domain-specific intelligence?"

High-value: Team conventions, quality standards, project constraints Low-value: Generic "ask AI a question" or "generate code"

5. Parameter Design

"What parameters make this flexible but not vague?"

Pattern Example
Enum {{ACTION_TYPE}} - Values: [CREATE, DEBUG, REFACTOR]
Path {{TARGET_FILE}} - Type: file_path
Text {{CHANGES_MADE}} - Type: bullet_list
Composite {{ERROR_CONTEXT}} - Required fields: error_message, file_location

Rule: 3-7 parameters optimal. More → split into multiple templates.

Principles

Principle 1: Template When Recurs 2+

  • First use: Write prompt directly
  • Second use: Notice pattern, extract template
  • Third+ uses: Use template, refine

Principle 2: Parameters Over Hard-Coding

# Before (hard-coded)
DEBUG backup.sh with "Permission denied" error

# After (parameterized)
DEBUG {{SCRIPT_NAME}} with "{{ERROR_MESSAGE}}" error

Principle 3: Document Success Patterns

Templates must include:

  • When to use (trigger conditions)
  • Why it works (pattern encoded)
  • Example filled (concrete instantiation)
  • Common mistakes (what to avoid)

Principle 4: Version and Evolve

markdown
### v2.0.0 (2025-11-18)
- BREAKING: Changed {{CHANGES}} to structured {{CHANGES_MADE}}
- Added "business value" requirement

### v1.0.0 (2025-10-15)
- Initial extraction from successful prompts

Principle 5: Measure Effectiveness

Metric Target
Success rate >85%
Time saved Measurable
Iterations needed <3
Team adoption >50%

Template Structure

markdown
---
template_name: {{descriptive-name}}
category: {{create|debug|refactor|optimize|analyze|generate}}
domain: {{backend|frontend|devops|testing|documentation}}
version: {{semantic-version}}
success_rate: {{percentage}}
---

# {{Template Name}}

## When to Use
{{Trigger conditions}}

## Parameters
### {{PARAM_1}}
- **Type**: {{enum|path|text|composite}}
- **Example**: {{value}}
- **Required**: {{yes|no}}

## Template
\```
INTENT:
{{ACTION_VERB}} {{description with parameters}}

CONSTRAINTS:
- {{invariant constraint}}
- {{parameterized constraint using {{PARAM}}}}

SUCCESS CRITERIA:
- {{measurable criterion}}
\```

## Example (Filled)
{{Concrete instantiation}}

## Common Mistakes
- {{Anti-pattern and how to avoid}}

Example: Git Commit Message Generator

markdown
---
template_name: git-commit-message-conventional
category: generate
version: 2.0.0
success_rate: 95%
---

## Parameters
- **CHANGES_MADE**: List of changes (required)
- **JIRA_TICKET**: PROJ-NNNN format (required)
- **SCOPE**: [auth, api, ui, db, devops] (required)
- **TYPE**: [feat, fix, docs, refactor, test] (required)

## Template
\```
GENERATE Git commit message

CHANGES: {{CHANGES_MADE}}

CONSTRAINTS:
- Format: {{TYPE}}({{SCOPE}}): <description> [{{JIRA_TICKET}}]
- Subject: Imperative mood, <50 chars
- Body: Explain WHY (business value)

SUCCESS CRITERIA:
- Passes commitlint
- Teammate understands without reading diff
\```

## Example (Filled)
\```
feat(auth): add JWT refresh endpoint [PROJ-1234]

- Add /auth/refresh: improves mobile UX by eliminating re-logins
- Extend token to 24h: reduces authentication friction
\```

## Common Mistakes
- Forgetting Jira ticket
- Past tense ("Added") instead of imperative ("Add")
- Explaining WHAT instead of WHY

Anti-Patterns

Anti-Pattern Symptom Fix
Template Before Pattern Creating for unused prompts Use manually 2+ times first
Over-Parameterization 15+ parameters Aim for 3-7, split if more
Under-Parameterization Only works for one scenario Must apply to 3+ use cases
No Success Metrics Never tracked quality Track success rate, time saved

Quick Reference

Template Creation Checklist:

  • Used pattern 2+ times?
  • Identified constants vs variants?
  • 5+ decision points?
  • Parameters with examples?
  • Filled example included?
  • Success criteria defined?

Parameter Design:

  • Descriptive names (not {{X}})?
  • Type specified?
  • Examples provided?
  • Required/optional marked?

Teaching Integration (L2 → L3)

Transition signal: Student has written similar prompts 2+ times with 85%+ success

Teaching sequence:

  1. "You've done this before. What's similar?" (identify recurrence)
  2. "What constraints appear in both?" (extract constants)
  3. "What changed?" (parameterize variants)
  4. "Let's formalize as reusable intelligence" (create template)

If Verification Fails

  1. Check recurrence: "Has this been used 2+ times?"
  2. Check complexity: "Are there 5+ decision points?"
  3. Check parameters: "3-7 well-designed parameters?"
  4. Stop and report if template adds more cognitive load than it saves

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