IMPROVEMENT: Reduced size of the skill files by referencing one in node_modules

Author: PredictabilityAtScale

README.md

@@ -34,6 +34,7 @@ npm install promptopskit
 
 ```bash
 npx promptopskit init ./prompts
+npx promptopskit skill
 ```
 
 This creates:
@@ -246,8 +247,9 @@ prompts/
 ## CLI
 
 ```bash
-# Scaffold starter prompts
+# Scaffold starter prompts and deploy AI agent instructions
 promptopskit init [dir]
+promptopskit skill
 
 # Validate all .md files in a directory
 promptopskit validate <dir> [--strict]
@@ -267,7 +269,7 @@ promptopskit skill [--target agents|claude|copilot|cursor] [--force]
 
 ## AI Agent Instructions
 
-The `skill` command deploys instruction files so AI coding assistants automatically understand how to create and manage prompts with promptopskit. By default it generates files for **all** major vendors:
+The `skill` command deploys instruction files so AI coding assistants automatically understand how to create and manage prompts with promptopskit. Each file references the full guide at `node_modules/promptopskit/SKILL.md`, so instructions stay in sync with the installed version. By default it generates files for **all** major vendors:
 
 ```bash
 # Deploy for all AI coding assistants (default)
@@ -280,11 +282,13 @@ promptopskit skill
 # Deploy only a specific target
 promptopskit skill --target copilot
 
-# Overwrite existing instructions files
+# Overwrite entire file instead of merging
 promptopskit skill --force
 ```
 
-The `CLAUDE.md` file uses Claude Code's `@AGENTS.md` import syntax to avoid duplicating content. The deployed files cover the prompt format, front matter schema, variable interpolation, includes, overrides, the TypeScript API, provider adapters, and project conventions — everything an AI agent needs to write correct prompts on the first try.
+If a target file already exists, the promptopskit section is merged in-place (or appended) rather than skipping or overwriting. Use `--force` to replace the entire file.
+
+The `CLAUDE.md` file uses Claude Code's `@AGENTS.md` import syntax to avoid duplicating content.
 
 ## Inline Source
 

SKILL.md

@@ -0,0 +1,327 @@
+# promptopskit — Prompt Engineering Skill
+
+This project uses **promptopskit** to manage LLM prompts as code.
+Prompts live in markdown files with YAML front matter, are validated against
+a schema, and render into provider-specific request bodies (OpenAI, Anthropic,
+Gemini, OpenRouter). Follow these instructions when creating or editing prompts.
+
+---
+
+## Prompt file format
+
+Every prompt is a `.md` file with two parts:
+
+1. **YAML front matter** — model settings, provider config, variables, overrides
+2. **Markdown body** — sections separated by H1 headings
+
+### Minimal example
+
+```markdown
+---
+id: greeting
+schema_version: 1
+provider: openai
+model: gpt-5.4
+context:
+  inputs:
+    - name
+---
+
+# System instructions
+
+You are a helpful assistant.
+
+# Prompt template
+
+Hello {{ name }}, how can I help you?
+```
+
+---
+
+## Front matter reference
+
+| Field | Type | Required | Description |
+|-------|------|----------|-------------|
+| `id` | string | **yes** | Unique identifier for the prompt |
+| `schema_version` | number | yes | Always `1` |
+| `description` | string | no | Human-readable description |
+| `provider` | enum | no | `openai`, `anthropic`, `google`, `gemini`, `openrouter`, or `any` |
+| `model` | string | no | Model identifier (e.g. `gpt-5.4`, `claude-sonnet-4-20250514`) |
+| `fallback_models` | string[] | no | Ordered fallback model list |
+| `reasoning` | object | no | `{ effort: low|medium|high, budget_tokens: number }` |
+| `sampling` | object | no | `{ temperature, top_p, frequency_penalty, presence_penalty, stop, max_output_tokens }` |
+| `response` | object | no | `{ format: text|json|markdown, stream: boolean }` |
+| `tools` | array | no | Tool names (strings) or inline definitions with `{ name, description, input_schema }` |
+| `mcp` | object | no | `{ servers: [string | { name, config }] }` |
+| `context.inputs` | string[] | no | Declared variable names used in templates |
+| `context.history` | object | no | `{ max_items: number }` |
+| `includes` | string[] | no | Relative paths to other prompt files to include |
+| `environments` | object | no | Per-environment overrides (see Overrides) |
+| `tiers` | object | no | Per-tier overrides (see Overrides) |
+| `metadata` | object | no | `{ owner, tags, review_required, stable }` |
+
+---
+
+## Sections (markdown body)
+
+Use H1 headings to define sections. The parser recognizes these headings
+(case-insensitive):
+
+| Heading | Maps to | Purpose |
+|---------|---------|---------|
+| `# System instructions` | `system_instructions` | System/developer message |
+| `# Prompt template` | `prompt_template` | User message template |
+| `# Notes` | `notes` | Documentation only — not sent to the model |
+
+If the body has **no H1 headings**, the entire body becomes the `prompt_template`.
+
+---
+
+## Variable interpolation
+
+Use `{{ variable_name }}` syntax in system instructions and prompt template
+sections. Variables are replaced at render time.
+
+Rules:
+- Declare all variables in `context.inputs` — validation warns on undeclared usage
+- Escape literal braces with `\{{` and `\}}`
+- In strict mode, missing variables throw an error
+- In permissive mode, unresolved placeholders are left intact
+
+---
+
+## Includes (composition)
+
+Compose prompts from shared fragments:
+
+```yaml
+includes:
+  - ./shared/tone.md
+  - ./shared/safety.md
+```
+
+Included files are parsed and their `system_instructions` are **prepended**
+before the including file's own system instructions. Includes resolve
+recursively. Circular includes are detected and rejected.
+
+> **Note:** Included files do not inherit folder defaults. Only the top-level
+> prompt that is loaded via `loadPromptFile` receives defaults.
+
+---
+
+## Folder defaults (`defaults.md`)
+
+Define shared defaults for a prompt tree by adding a `defaults.md` file in any
+folder:
+
+```text
+prompts/
+├── defaults.md          # global provider, model, metadata + system instructions
+└── support/
+    ├── defaults.md      # overrides for support/*
+    └── reply.md         # inherits from support/defaults.md
+```
+
+Supported default fields:
+- `provider` (front matter) — default provider for the folder
+- `model` (front matter) — default model for the folder
+- `metadata` (front matter) — merged with prompt-local metadata
+- `# System instructions` (body section) — used when the prompt has none
+
+This lets you configure app-wide settings like `provider` and `model`
+in a single root `defaults.md`, so individual prompts only declare what's unique to them.
+
+Rules:
+- Nearest subfolder `defaults.md` overrides parent defaults
+- Prompt-local values always take precedence over defaults
+- `defaults.md` files are skipped during compilation and validation
+- `loadPromptFile` defaults the search boundary to the file's own directory;
+  pass `defaultsRoot` to enable ancestor traversal
+
+---
+
+## Environment & tier overrides
+
+Override model settings per environment or tier:
+
+```yaml
+environments:
+  development:
+    model: gpt-4.1-mini
+    reasoning:
+      effort: low
+    sampling:
+      temperature: 0.9
+  production:
+    model: gpt-5.4
+    reasoning:
+      effort: high
+    sampling:
+      temperature: 0.3
+
+tiers:
+  free:
+    model: gpt-4.1-mini
+    sampling:
+      max_output_tokens: 500
+  premium:
+    model: gpt-5.4
+```
+
+Overridable fields: `model`, `fallback_models`, `reasoning`, `sampling`,
+`response`, `tools`.
+
+Override application order: **base → environment → tier → runtime**.
+
+---
+
+## Test sidecars
+
+Create a `.test.yaml` file alongside a prompt to define test cases:
+
+```yaml
+# greeting.test.yaml
+cases:
+  - name: basic
+    variables:
+      name: "World"
+  - name: formal
+    variables:
+      name: "Dr. Smith"
+```
+
+---
+
+## Using the library (TypeScript / JavaScript)
+
+### Quick start
+
+```typescript
+import { createPromptOpsKit } from 'promptopskit';
+
+const kit = createPromptOpsKit({ sourceDir: './prompts' });
+
+// Load → resolve includes → apply overrides → render
+const request = await kit.renderPrompt('greeting', {
+  variables: { name: 'Alice' },
+  environment: 'production',
+});
+
+// request.body is ready for the provider's API
+const response = await fetch('https://api.openai.com/v1/chat/completions', {
+  method: 'POST',
+  headers: {
+    'Content-Type': 'application/json',
+    Authorization: `Bearer ${apiKey}`,
+  },
+  body: JSON.stringify(request.body),
+});
+```
+
+### Step-by-step API
+
+```typescript
+import {
+  parsePrompt,
+  resolveIncludes,
+  applyOverrides,
+  getAdapter,
+} from 'promptopskit';
+import { readFileSync } from 'fs';
+
+// 1. Parse a prompt file
+const source = readFileSync('./prompts/greeting.md', 'utf-8');
+const asset = parsePrompt(source, 'greeting.md');
+
+// 2. Resolve includes
+const resolved = await resolveIncludes(asset, './prompts');
+
+// 3. Apply overrides
+const configured = applyOverrides(resolved, {
+  environment: 'production',
+  tier: 'premium',
+});
+
+// 4. Get provider adapter and render
+const adapter = getAdapter(configured.provider ?? 'openai');
+const request = adapter.render(configured, {
+  variables: { name: 'Alice' },
+  history: [
+    { role: 'user', content: 'Previous message' },
+    { role: 'assistant', content: 'Previous response' },
+  ],
+});
+```
+
+### Available provider adapters
+
+| Provider | Import path | Provider request format |
+|----------|------------|----------------------|
+| OpenAI | `promptopskit` or `promptopskit/openai` | Chat Completions API |
+| Anthropic | `promptopskit/anthropic` | Messages API |
+| Gemini | `promptopskit/gemini` | GenerateContent API |
+| OpenRouter | `promptopskit/openrouter` | OpenAI-compatible + extras |
+
+### Validation
+
+```typescript
+import { validateAsset, parsePrompt } from 'promptopskit';
+
+const asset = parsePrompt(source);
+const result = validateAsset(asset);
+
+if (!result.valid) {
+  console.error(result.errors); // Error codes: POK001-POK021
+}
+```
+
+### Testing helpers
+
+```typescript
+import { createMockAsset, parseTestPrompt } from 'promptopskit/testing';
+
+// Create a mock asset for unit tests
+const mock = createMockAsset({ model: 'gpt-4.1-mini' });
+
+// Parse an inline prompt string for tests
+const asset = parseTestPrompt(`
+---
+id: test
+schema_version: 1
+provider: openai
+model: gpt-5.4
+---
+
+# Prompt template
+
+Hello {{ name }}
+`);
+```
+
+---
+
+## CLI commands
+
+| Command | Description |
+|---------|-------------|
+| `promptopskit init [dir]` | Scaffold a prompts directory with starter files (including `defaults.md`) |
+| `promptopskit validate <dir>` | Validate all prompt files in a directory |
+| `promptopskit compile <src> <out>` | Compile .md prompts to JSON artifacts |
+| `promptopskit render <file> [--set key=value]` | Render a prompt preview |
+| `promptopskit inspect <file>` | Print the normalized prompt asset |
+
+---
+
+## Conventions to follow
+
+1. **One prompt per file** — each `.md` file is a single prompt asset
+2. **Always set `id` and `schema_version: 1`** in front matter (or inherit `schema_version` from `defaults.md`)
+3. **Declare all variables** in `context.inputs` that appear in templates
+4. **Use includes** for shared system instructions (tone, safety, formatting)
+5. **Keep prompt templates focused** — compose behavior via includes, not duplication
+6. **Use environment overrides** for dev/staging/prod model differences
+7. **Add test sidecars** (`.test.yaml`) for critical prompts
+8. **Run `promptopskit validate`** before committing changes
+9. **Use `defaults.md`** to share provider, model, metadata, and system instructions across a folder
+10. **Variable names** should be `snake_case`
+11. **Prompt file names** should be `kebab-case.md`

package.json

@@ -72,7 +72,8 @@
     }
   },
   "files": [
-    "dist"
+    "dist",
+    "SKILL.md"
   ],
   "scripts": {
     "build": "tsup",