Summarise a chunk of text down to roughly `length` words using the agent's configured LLM provider. Input shape `{ text: string, length?: number }` on stdin, JSON; output shape `{ summary: string }` on stdout, JSON. Minimal: ~50 lines, no streaming, no retries — a deliberate baseline so the wiring is visible. For a production summariser, fork this and add retries, prompt-injection sanitisation, length validation, and per-model cost tracking.
Installs into .claude/skills of the current project.
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---
name: text-summarizer
description: Summarise a chunk of text down to roughly `length` words using the agent's configured LLM provider. Input shape `{ text: string, length?: number }` on stdin, JSON; output shape `{ summary: string }` on stdout, JSON. Minimal: ~50 lines, no streaming, no retries — a deliberate baseline so the wiring is visible. For a production summariser, fork this and add retries, prompt-injection sanitisation, length validation, and per-model cost tracking.
version: "1.0"
license: MIT
metadata:
category: text
tag:
- example
- llm
- summarization
- typescript
---
# text-summarizer
A minimum-viable LLM skill — the smallest amount of code that takes structured input, calls an LLM, and emits structured output.
## Contract
**Input** (stdin, JSON):
```json
{ "text": "...long input...", "length": 60 }
```
- `text` (string, required) — what to summarise.
- `length` (number, optional, default 60) — target word count for the summary.
**Output** (stdout, JSON):
```json
{ "summary": "..." }
```
**Errors** — written to stderr as `{ "error": "...message..." }` and exit code `1`.
## Required environment
| Var | Purpose |
|---|---|
| `ANTHROPIC_API_KEY` | Talks to Claude. Swap the SDK call to point at OpenAI / Gemini / your own backend; nothing else changes. |
## Run locally
```bash
cd examples/text-summarizer
bun install
ANTHROPIC_API_KEY=sk-ant-... echo '{"text":"...","length":40}' | bun run src/index.ts
```
## Adapt this
- **Different model vendor** — replace `Anthropic` with the SDK of your choice; the I/O shape stays.
- **Stream output** — emit one JSON line per token instead of one final blob.
- **Sanitise input** — the current code passes `text` to the model verbatim; for untrusted callers, strip control characters and cap length before the API call.
