Find agent skills by outcome

| Data quality | 3 | Mostly clean

some inconsistency |

| 5 – Excellent Feasibility | Predictable process

well-defined data

| 4 – High Feasibility | Clear logic

consistent data

When scoring

evaluate these dimensions (suggested weights for averaging: e.g.

| 1 – Not Feasible | Process heavily dependent on expert judgment

implicit knowledge

| 2 – Low Feasibility | Some structured elements exist

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

Copilot 規範層（全タスク共通で短く強い指示）

- 仕様の入口は .github/copilot/00-index.md。参照順に従い、設計→実装の2段階ループを厳守する。

../claude.md

generic skill

worklog

Update worklog files by moving tasks between todo/doing/done states. Use when recording task progress, starting new work, or marking tasks complete. Requires explicit arguments: worklog [done|doing|to...

ship

|

With Skill Evidence for google-flow--google-flow

Agent is prompted to [task description] with this skill loaded.

リポジトリガイドライン

README.md を参照してください。

Untitled Skill

Repository Agent Instructions

- Always use Conventional Commits.

Guidelines for my dotfiles repo

Pi agent config is at ~/.config/pi/agent (symlinked to dotfiles). Extensions go in ~/.config/pi/agent/extensions/.

OpenClaw Custom Skills - Instrucciones para Claude

SIEMPRE preguntar al completar una tarea: "Deploy a produccion?"

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

drafting

After the interview

provide a structured assessment.

- How would you measure the success of AI support (e.g.

time saved

- Are there legal

ethical

4. Frequency

Scale

- What is your budget or resource availability for AI implementation (e.g.

time

- What inputs does the process rely on? (text

images

- Who currently performs this process (you

a team