agr-cli
Install, share, sync, and create AI agent skills across coding tools (Claude Code, Cursor, Codex, OpenCode, Copilot, Pi) using the agr CLI. Use whenever the…
Debrief an AI agent skill (SKILL.md) after using it — capture session feedback or a retrospective and fold it back into the skill. Use whenever the user says: "debrief the X skill", "let's debrief X", "retrospective on X", "feedback on X skill", "improve the X skill", "update
$ npx -y skills add computerlovetech/agr --skill skill-debrief --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/skill-debriefContext preview
The summary Claude sees to decide when to auto-load this skill.
Debrief an AI agent skill (SKILL.md) after using it — capture session feedback or a retrospective and fold it back into the skill. Use whenever the user says: "debrief the X skill", "let's debrief X", "retrospective on X", "feedback on X skill", "improve the X skill", "update
name: skill-debrief description: > Debrief an AI agent skill (SKILL.md) after using it — capture session feedback or a retrospective and fold it back into the skill. Use whenever the user says: "debrief the X skill", "let's debrief X", "retrospective on X", "feedback on X skill", "improve the X skill", "update the X skill", "let's revise X based on what we just did", "the X skill should also handle Y", "X didn't trigger when it should have", or otherwise wants to capture lessons from a session back into the skill that drove it. Handles in-repo skills (under skills/) by editing the source, committing, and re-installing via `agr upgrade`. Handles remote/upstream skills by offering to fork them in-repo or to file a GitHub issue via `gh`. Do NOT use for greenfield skill authoring (a separate concern — see `anthropics/skills/skill-creator`) or for installing / syncing / removing skills (use the `agr` CLI directly).
Capture lessons from a session into the skill that drove it. The default shape is **listen → propose → align → apply → re-install**.
Trigger when the user wants to debrief an existing SKILL.md based on what happened in the session. Examples:
Do NOT use this skill for:
defer the body content to the user — or to a dedicated authoring skill such as `anthropics/skills/skill-creator` (`agr add anthropics/skills/skill-creator`).
(`agr add`, `agr sync`, `agr upgrade`, `agr remove`).
Ask which skill is being improved if it isn't obvious from context. Then locate the source:
agr list # see installed deps and short names ls skills/ # in-repo source if present cat agr.toml # see whether the dep is local-path or remote
Two cases — they have different update paths:
| Case | Source location | Update path | |---|---|---| | **In-repo** (`{path = "./skills/<name>", type = "skill"}` in `agr.toml`) | `skills/<name>/` | Edit source → commit → `agr upgrade <name>` | | **Remote** (`{handle = "user/repo/<name>", …}`) | Upstream GitHub repo | Cannot edit directly — see Step 5 |
If the skill isn't installed at all but the user wants to improve it, ask whether to add it first (and which case applies).
**Listen.** The user invoked this skill because they have something to say — let them say it. Do not interrogate. Do not run a checklist of questions at them. Take in whatever they offer, in whatever shape they offer it.
Only ask a clarifying question if you genuinely cannot proceed without one (e.g. the user named a skill that doesn't exist, or two skills share the name and you need to disambiguate). Even then, ask the minimum.
Be **dynamic**. The user may surface things in any shape — a single sentence ("the description should also fire on X"), a structured list, or a ramble that you need to distill. They may also surface things outside the standard buckets below (rename a section, restructure `references/`, change output format, drop a deprecated workflow, fix a typo). Apply whatever the user actually says.
The buckets below are a mental map for *you* when distilling what you heard, not a checklist to recite at the user:
Summarize what you heard, then propose specific edits. Format:
> **Proposed changes to `skills/<name>/SKILL.md`** (and any references): > > 1. **Description** — add trigger phrase "…" (because: …) > 2. **Boundaries** — add: never X (because: discovered this in session) > 3. **New section "Y"** — describes the workflow that was missing > > Want me to apply these, revise, or add more?
For small edits, show the exact diff inline. For larger changes, summarize first and apply section by section.
**Wait for explicit user approval before editing.** "yes" / "go ahead" / similar. If the user revises, loop back to Step 2 or 3.
Edit the source file(s) under `skills/<name>/`. Then:
git status # confirm only the intended files changed git add skills/<name>/ git commit -m "skill(<name>): <one-line summary>" agr upgrade <name> # re-installs into all configured tools, refreshes agr.lock git add agr.lock git commit --amend --no-edit # or commit separately; match the repo's style
**Do not push.** Stop after the commit and let the user push when ready.
Use a conventional-commits-style scope:
skill(<name>): <imperative summary>
Examples:
skill(agr-cli): clarify upgrade vs sync for local paths skill(agr-cli): add gotcha for same-repo siblings skill(code-review): drop outdated linter pre-check
If the repo's commit style differs (check `git log --oneline -20`), match it.
`agr sync` only installs **missing** deps — it does NOT re-copy a local-path skill that's already installed. `agr upgrade <name>` re-copies it and refreshes `agr.lock`. Use `agr upgrade`.
(Equivalent: `agr add ./skills/<name> --overwrite`. Pick `upgrade` for consistency — it's the same verb used to refresh remote skills.)
If the skill is a remote dep, the change canno
The package manager for AI agents. For teams who want to manage agent skills like software packages — the way npm, PyPI, and uv manage code.
Install, share, sync, and create AI agent skills across coding tools (Claude Code, Cursor, Codex, OpenCode, Copilot, Pi) using the agr CLI. Use whenever the…
Release process for the agr package. Handles version bumping (major/minor/patch/beta), changelog updates, pre-release quality checks, git tagging, and…