Bad
stephenleo/bmad-autonomous-development
BMad Autonomous Development — orchestrates parallel story implementation pipelines.
Debrief an AI agent skill (SKILL.md) after using it — capture session feedback or a retrospective and fold it back into the skill.
$ npx skills add computerlovetech/agr --skill skill-debrief -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install computerlovetech/agr skill-debrief --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/computerlovetech/agr.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-debrief .claude/skills/skill-debrief && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "skill-debrief" agent skill from https://github.com/computerlovetech/agr/tree/main/skills/skill-debrief into .claude/skills/skill-debrief/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-debrief", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/computerlovetech/agr/tree/main/skills/skill-debriefType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add computerlovetech/agr --skill skill-debrief -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install computerlovetech/agr skill-debrief --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/computerlovetech/agr.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skill-debrief .agents/skills/skill-debrief && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-debrief" agent skill from https://github.com/computerlovetech/agr/tree/main/skills/skill-debrief into .agents/skills/skill-debrief/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-debrief", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add computerlovetech/agr --skill skill-debrief -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install computerlovetech/agr skill-debrief --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/computerlovetech/agr.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skill-debrief .cursor/skills/skill-debrief && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "skill-debrief" agent skill from https://github.com/computerlovetech/agr/tree/main/skills/skill-debrief into .cursor/skills/skill-debrief/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-debrief", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/computerlovetech/agr.git --path skills/skill-debrief--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add computerlovetech/agr --skill skill-debrief -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install computerlovetech/agr skill-debrief --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/computerlovetech/agr.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skill-debrief .gemini/skills/skill-debrief && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "skill-debrief" agent skill from https://github.com/computerlovetech/agr/tree/main/skills/skill-debrief into .gemini/skills/skill-debrief/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-debrief", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install computerlovetech/agr skill-debriefInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add computerlovetech/agr --skill skill-debrief -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/computerlovetech/agr.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skill-debrief .github/skills/skill-debrief && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "skill-debrief" agent skill from https://github.com/computerlovetech/agr/tree/main/skills/skill-debrief into .github/skills/skill-debrief/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-debrief", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add computerlovetech/agr --skill skill-debrief -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install computerlovetech/agr skill-debrief --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/computerlovetech/agr.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skill-debrief .opencode/skills/skill-debrief && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "skill-debrief" agent skill from https://github.com/computerlovetech/agr/tree/main/skills/skill-debrief into .opencode/skills/skill-debrief/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-debrief", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skill-debriefDebrief an AI agent skill (SKILL.md) after using it — capture session feedback or a retrospective and fold it back into the skill.
Skill Debrief is an agent skill from computerlovetech/agr. 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…
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Skill authoring and Retrospectives. It works with GitHub. The repository describes itself as: Educational package-manager project for AI agent skills. Not actively maintained. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit f260b65. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitghFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git and gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Skill Debrief loads about 2.2k tokens when it runs. Until then it costs about 226 tokens; SKILL.md has 970 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from computerlovetech/agr at commit f260b65, republished under its MIT licence (© computerlovetech). 970 words, ~2,241 tokens.
.claude/skills/skill-debrief/SKILL.md (or your agent's skills folder).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:
agr init to scaffold a SKILL.md and
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 CLI work
(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 remoteTwo 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:
description / triggers — under-fired or over-firedreferences/<topic>.mdSummarize what you heard, then propose specific edits. Format:
Proposed changes to
skills/<name>/SKILL.md(and any references):
- Description — add trigger phrase "…" (because: …)
- Boundaries — add: never X (because: discovered this in session)
- 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 styleDo 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-checkIf the repo's commit style differs (check git log --oneline -20), match it.
agr upgrade and not agr sync?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 cannot be applied directly. Ask the user which path they want:
ghBest when the change benefits everyone (a real bug or universal improvement in someone else's published skill).
Resolve the upstream repo from the handle:
anthropics/skills/pdf → --repo anthropics/skillsuser/myrepo/skill → --repo user/myrepoConfirm the title and body with the user, then:
gh issue create \
--repo <owner>/<repo> \
--title "[<skill-name>] <short summary>" \
--body "$(cat <<'EOF'
## What I observed
<concrete scenario from the session>
## Suggested change
<proposed wording or workflow>
## Why
<reasoning>
EOF
)"gh issue create posts publicly — treat it the same as any other shared-
state action. Always confirm before running.
If the user has push access and a local clone, also offer to open a PR instead of (or alongside) the issue.
Best when the change is project-specific or unlikely to be accepted
upstream. Copies the skill into skills/<name>/ so future retros work the
in-repo way.
Suggested flow:
# 1. Find the upstream commit (agr.lock has it)
agr list
# 2. Sparse-checkout or full clone, then copy the folder:
mkdir -p skills
cp -r /tmp/upstream-clone/<skill-folder> skills/<name>
# 3. Swap the dep
agr remove anthropics/skills/<name>
agr add ./skills/<name>Tell the user this forks the skill — they're now responsible for keeping it current with upstream. Then continue from Step 3 with the in-repo flow.
Offer Option A first when the change is generally useful. Offer Option B when upstream is unlikely to accept, or when the user wants the change now without waiting on upstream.
After re-installing (in-repo case):
agr list # status should be `installed`
diff skills/<name>/SKILL.md .claude/skills/<name>/SKILL.md # should be emptyFor remote case (issue filed): confirm the issue URL with the user.
Tell the user what's done and what's pending (commit done, push pending; or issue filed, awaiting response).
gh issue create is publicly visible — treat it as
shared-state.agr.lock by hand — agr upgrade regenerates it.anthropics/skills/skill-creator — canonical greenfield skill authoring
(install with agr add anthropics/skills/skill-creator if needed)© computerlovetech, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/skill-debrief of computerlovetech/agr.
Open the folder on GitHubat commit f260b65
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in computerlovetech/agr, which our catalogue first saw on October 7, 2026.
Skill Debrief next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Skill Debrief this skillcomputerlovetech/agr | 451 | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Badstephenleo/bmad-autonomous-development | 107 | — | ~7.7k | Automated safety check: Pass | MIT | |
| Auto Skill Buildertradecatlabs/vibe-coding-cn | 17k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Skill Seekers Builderyusufkaraaslan/Skill_Seekers | 15k | — | ~760 | Automated safety check: Pass | MIT | |
| DBS Skill Makerdontbesilent2025/dbskill | 11k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| LubanLearnPrompt/luban-skill | 958 | — | ~3.1k | Automated safety check: Pass | MIT |
stephenleo/bmad-autonomous-development
BMad Autonomous Development — orchestrates parallel story implementation pipelines.
tradecatlabs/vibe-coding-cn
Meta-skill that turns docs, APIs, code or specs into a reusable skill with references and a quality gate, and refactors skills that are unclear or misfire.
yusufkaraaslan/Skill_Seekers
Detects the type of a knowledge source and uses the Skill Seekers MCP tools to turn docs, repos, PDFs or videos into packaged AI skills.
dontbesilent2025/dbskill
Turns a problem you keep running into into a single installable, tested skill, and prepares a GitHub repository only when you ask to share it.
LearnPrompt/luban-skill
鲁班(Luban)——Skill打磨工坊。把一个"能用的Skill"打磨成"能被理解、能被安装、能被传播、能被验证、能持续进化"的公共Skill资产。
thomast1906/github-copilot-agent-skills
Guides creating, updating, reviewing and validating GitHub Copilot agent skills, from deciding whether a skill is the right tool to structuring bundled resources.
computerlovetech/agr
Install, share, sync, and create AI agent skills across coding tools (Claude Code, Cursor, Codex, OpenCode, Copilot, Pi) using the agr CLI.
computerlovetech/agr
Release process for the agr package. An agent skill from computerlovetech/agr.
Works with
Debrief an AI agent skill (SKILL.md) after using it — capture session feedback or a retrospective and fold it back into the skill. Skill Debrief is an agent skill from computerlovetech/agr.md) after using it — capture session feedback or a retrospective and fold it back into the skill.
Skill Debrief fits situations like: the user says: debrief the X skill; retrospective on X; feedback on X skill; improve the X skill.
Run `npx skills add computerlovetech/agr --skill skill-debrief -a claude-code`. Or copy the skill folder (skills/skill-debrief in computerlovetech/agr) into .claude/skills/skill-debrief in your project. Claude Code loads it when a task matches its description.
Run `npx skills add computerlovetech/agr --skill skill-debrief -a codex`. Or copy the skill folder (skills/skill-debrief in computerlovetech/agr) into .agents/skills/skill-debrief in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add computerlovetech/agr --skill skill-debrief -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-debrief, .gemini/skills/skill-debrief, .github/skills/skill-debrief and .opencode/skills/skill-debrief in your project.
Going by SKILL.md and its folder, Skill Debrief needs the command-line tools its instructions call (git and gh).
SKILL.md contains no URLs. Its commands use git and gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Skill Debrief is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Skill Debrief: Bad (stephenleo/bmad-autonomous-development, 107 stars), Auto Skill Builder (tradecatlabs/vibe-coding-cn, 17k stars), Skill Seekers Builder (yusufkaraaslan/Skill_Seekers, 15k stars) and DBS Skill Maker (dontbesilent2025/dbskill, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
computerlovetech (a GitHub organization) maintains it in computerlovetech/agr, which has 451 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on August 12, 2026.
Source: computerlovetech/agr on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.