Skip to content
Agentmart
Submit a tool

instructor

Skill by demonstrikkk

IndexedMIT
Write a review

Chalk Labs

Need help deploying instructor?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/demonstrikkk-instructor

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

The publisher has not written a description yet.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions: not checked yet.

What's inside

Skill name
instructor
Description
None
License
MIT
Instructions
22 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • missing YAML frontmatter
  • name: missing
  • description: missing

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Instructor — Planner/Extractor → Pydantic

Role: Planner→Pydantic + Extractor→Pydantic with retries/validation. Never invents flow.

Verified 2026-09-24:
- Repo https://github.com/jxnl/instructor/ (redirects 567-labs/instructor, MIT) — Docs https://python.useinstructor.com/
- Latest CHANGELOG v1.17.1 (2026-09-09); PyPI lag showed 1.17.0 — patch date UNVERIFIED. Python >=3.9,<4.0.
```bash
pip install instructor
pip install "instructor[google-genai]"
```
```python
import instructor
from pydantic import BaseModel
client = instructor.from_provider("google/gemini-3.8-flash")
class User(BaseModel):
    name: str; age: int
resp = client.create(messages=[{"role":"user","content":"Extract Jason is 25"}], response_model=User)
```
Limits: Gemini no Union except Optional; OpenAI chat needs reasoning_effort none; GenAI MAX_TOKENS non-stream raises IncompleteOutputException; use max_retries=3, create_iterable/Partial for lists/stream.
Sources: repo+CHANGELOG, docs integrations openai/google.

From demonstrikkk/datagoblin, MIT.

Signals

Stars
0
Forks
0
Open issues
0
Last commit (this folder)
Sep 26, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get instructor running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying instructor?

CallGet help
Cite this page

instructor skill. Agent Mart. https://agentmart.dev/skills/demonstrikkk-instructor (last updated 2026-10-24)