agent-sort
OfficialBuild an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
--- name: agent-sort description: Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle. --- # Agent Sort Use this skill when a repo needs a project-specific ECC surface instead of the default full install. The goal is not to guess what "feels useful." The goal is to classify ECC components with evidence from the actual codebase. ## When to Use - A project only needs a subset of ECC and full installs are too noisy - The repo stack is clear, but nobody wants to hand-curate skills one by one - A team wants a repeatable install decision backed by grep evidence instead of opinion - You need to separate always-loaded daily workflow surfaces from searchable library/reference surfaces - A repo has drifted into the wrong language, rule, or hook set and needs cleanup ## Non-Negotiable Rules - Use the current repository as the source of truth, not generic preferences - Every DAILY decision must cite concrete repo evidence - LIBRARY does not mean "delete"; it means "keep accessible without loading by default" - Do not install hooks, rules, or scripts that the current repo cannot use - Prefer ECC-native surfaces; do not introduce a second install system ## Outputs Produce these artifacts in order: 1. DAILY inventory 2. LIBRARY inventory 3. install plan 4. verification report 5. optional `skill-library` router if the project wants one ## Classification Model Use two buckets only: - `DAILY` - should load every session for this repo - strongly matched to the repo's language, framework, workflow, or operator surface - `LIBRARY` - useful to retain, but not worth loading by default - should remain reachable through search, router skill, or selective manual use ## Evidence Sources Use repo-local evidence before making any classificati
Use this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-ca6f67a1-4e07-4740-a8ab-61fd88a18020",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
Set it up in your dashboardMore skills
Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.
Create, view, edit, delete, search, move, or export Apple Notes via the memo CLI on macOS.
List, add, edit, complete, or delete Apple Reminders and reminder lists via remindctl.
Create, search, and manage Bear notes via grizzly CLI.
Monitor blogs and RSS/Atom feeds for updates using the blogwatcher CLI.
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Capture frames or clips from RTSP/ONVIF cameras.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.