Prompt builder
Skill fabioc-aloha/Alex_Skill_Mall/plugins/ai-agents/prompt-builder
284 curated plugins for AI assistants across 16 categories: security, Azure, documentation, code quality, cloud infrastructure, and more. Works with GitHub Copilot. Drop into .github/skills/local/ and go.
npx -y skills add fabioc-aloha/Alex_Skill_Mall --skill prompt-builderAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Create and validate .prompt.md files that pass brain-qa on first attempt
SKILL.md
5.0 KB, as published. Nobody here has run it
Prompt Builder
Build
.prompt.mdfiles that pass brain-qa on first attempt — no regressions
When to Use
- Creating a new
.prompt.mdfile - Fixing a failing prompt in brain-qa
- Adding prompts to the loop menu config
- Reviewing prompt frontmatter for completeness
Prompt Anatomy
Every .prompt.md has two parts: YAML frontmatter and Markdown body.
Frontmatter (Required Fields)
| Field | Required | Gate | Purpose |
|---|---|---|---|
description | Yes | Yes | What the prompt does (1 sentence) |
application | Yes | Yes | When/why to use it (distinct from description) |
mode | Conditional | No | Set to agent for loop prompts |
agent | Conditional | No | Named agent for root prompts |
tools | Conditional | No | Tool array for loop prompts |
Gate fields (description + application) are mandatory — brain-qa fails without both.
brain-qa Scoring (4 points)
| Flag | Points | Rule |
|---|---|---|
desc | 1 | description: exists in frontmatter |
app | 1 | application: exists in frontmatter |
agent | 1 | agent: OR mode: agent exists |
>20L | 1 | Body exceeds 20 lines |
Pass = both gates (desc + app) AND score >= 3.
Two Archetypes
Root Prompts (.github/prompts/*.prompt.md)
Invoked directly by name. Typically route to a named agent.
---
description: "What this prompt does"
application: "When to use this prompt"
agent: the AI assistant
---
Key rules:
- Use
agent:to name the target agent (the AI assistant, Researcher, Validator, etc.) - Do NOT use
mode:ortools:— those are for loop prompts - Body should be 20+ lines with clear instructions
Loop Prompts (.github/prompts/loop/*.prompt.md)
Sidebar buttons in the extension Loop tab. Loaded by loopMenu.ts.
---
mode: agent
description: "What this prompt does"
application: "When to use this prompt"
tools: ["read_file", "create_file", "run_in_terminal"]
---
Key rules:
- Always include
mode: agent - Always include
tools:array with relevant tool names - Do NOT use
agent:— loop prompts use mode-based routing - Body should be 20+ lines with phase-based instructions
Field Writing Rules
description vs application
These are distinct fields — do not duplicate content between them.
| Field | Answers | Example |
|---|---|---|
description | "What does this do?" | "3-pass code review with confidence scoring" |
application | "When should I use this?" | "Review code for correctness, security, and maintainability" |
Anti-pattern: Making application a rephrasing of description.
tools Array (Loop Prompts Only)
Include only tools the prompt actually needs:
| Tool | When to Include |
|---|---|
read_file | Reads existing code or docs |
create_file | Generates new files |
replace_string_in_file | Edits existing files |
run_in_terminal | Runs commands (build, test, deploy) |
grep_search | Searches codebase for patterns |
semantic_search | Semantic code search |
list_dir | Explores directory structure |
fetch_webpage | Web research |
view_image | Image analysis |
get_errors | Reads diagnostics |
codebase | VS Code codebase tool |
terminal | VS Code terminal tool |
editFiles | VS Code edit tool |
Body Structure
Minimum Viable Body (20+ Lines)
# {Title}
{1-2 sentence intro describing the workflow}
## Phase 1: {Discovery/Setup}
{Steps for initial context gathering}
## Phase 2: {Execution}
{Core workflow steps}
## Phase 3: {Validation}
{How to verify the work}
## Output
{What the user should expect}
Using Variables
$ARGUMENTS— User's input text (root prompts)${{input}}— VS Code variable for selected text- Reference skills with: "Load
.github/skills/{name}/SKILL.md"
Checklist Before Commit
Run mentally before saving any .prompt.md:
-
description:present and meaningful -
application:present and distinct from description - Root prompt has
agent:OR loop prompt hasmode: agent+tools: - Body exceeds 20 lines
- No duplicate of existing prompt (check
.github/prompts/) - If loop prompt: registered in
.github/config/loop-menu.json
Common Failures and Fixes
| Failure | Cause | Fix |
|---|---|---|
app=0 | Missing application: | Add field after description: |
desc=0 | Missing description: | Add field in frontmatter |
agent=0 | No agent: or mode: agent | Add appropriate field |
>20L=0 | Body too short | Expand with phases/instructions |
| Score 3 but FAIL | Has score but missing a gate | Ensure both description AND application exist |