Find agent skills by outcome

current_skills: OpenCV (learning)

PyTorch (familiar)

programming_skills: Basic Python

C++

languages: Python (intermediate)

Rust (basic)

- Suggested follow-up actions (prototype scope

data prep

- Llama 4 / Llama 405B variants (Meta) — Best open-source frontier performance

excellent for self-hosting

Creative

- Generate a simple

practical starter prompt

Education

Always explain your ranking in the specific context of the user's process

inputs

Productivity

- GPT-5 / o3 family (OpenAI) — Deepest reasoning on very complex structured tasks

best at following extremely long/complex instructions

- Grok 3 / Grok 4 (xAI) — Excellent reasoning

real-time knowledge via X

| Data quality | 3 | Mostly clean

some inconsistency |

| 4 – High Feasibility | Clear logic

consistent data

Productivity

| 3 – Moderate Feasibility | Certain tasks could be automated (e.g.

drafting

| 2 – Low Feasibility | Some structured elements exist

but goals or data are unclear. AI could assist with insights

| 5 – Excellent Feasibility | Predictable process

well-defined data

- What tools

software

- Engineers

analysts

Productivity

3. Treat the interaction as a discovery session

not an instant automation request.

memory/channel_prompts.py

> 경로: `seosoyoung/memory/channel_prompts.py`

Copilot Directive Prompts

Guidelines for creating effective @copilot prompts.

Vibe-coding prompts

99% of this code was vibe-coded using Cursor using the `claude-4-sonnet` model and in the agent `auto` mode.

import { APILink } from "@site/src/components/APILink";

import Tabs from "@theme/Tabs";

Writing

Factory.ai's Droid CLI System Prompt

generic skill

自定义系统提示

generic skill

OpenAI Codex CLI System Prompt

generic skill