Agent skill

LangBot Skills Maintenance

by langbot-app in langbot-app/LangBot

Guides changes to the langbot-skills repository so skills, references, cases, suites, fixtures and troubleshooting entries each live in one place with little duplication.

Apache-2.0Auto-check: notesAgent Workflows

Install LangBot Skills Maintenance

skills CLI
$ npx skills add langbot-app/LangBot --skill langbot-skills-maintenance -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install langbot-app/LangBot langbot-skills-maintenance --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/langbot-app/LangBot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skills/langbot-skills-maintenance .claude/skills/langbot-skills-maintenance && rm -rf skills-src

Use ~/.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/

Facts

Skill name
langbot-skills-maintenance
GitHub stars
18k
Token cost
~603 tokens
SKILL.md length
270 words
Files
2 (incl. references)
Skills in repo
9
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guides changes to the langbot-skills repository so skills, references, cases, suites, fixtures and troubleshooting entries each live in one place with little duplication.

  • Works in 5 steps: Read AGENTS.md, skills/.env, and the… → Classify the change → Search existing assets before adding new… → …
  • Adding or editing a LangBot skill, reference, case or troubleshooting entry
  • SKILL.md covers Workflow and Entropy Rules
  • Calls rg

What it does

Before changing reusable assets, the agent reads AGENTS.md, skills/.env and the relevant existing files, then classifies the change. SKILL.md holds routing and short operating rules, references hold the detailed workflows, cases are executable test-plan skeletons, suites are groups of case ids, fixtures.json carries fixture readiness metadata, and each troubleshooting file covers one reusable failure mode. Run evidence under reports is output, not something to commit. The agent searches existing assets with rg and the bin/lbs list commands first, puts detail in a single canonical place, links to it and runs the checks listed in AGENTS.md.

A set of entropy rules keeps the repository small: extend an existing entry when the root cause matches, keep cases to setup, action, evidence and checks, keep suites to a title, intent, tags and ordered case ids, and keep fixture manifests factual without absolute paths. Ports, browser profile paths, secrets, tokens and provider keys are never hardcoded. bin/lbs index --check verifies the committed index without writing it, and references/curation-workflow.md covers periodic audits.

When your agent uses it

  • Adding or editing a LangBot skill, reference, case or troubleshooting entry
  • Deciding where a new piece of detail belongs before creating a file
  • Running a periodic audit of the skills repository for duplication

Example prompts

  • “Add a troubleshooting entry for the webhook timeout, but check first whether one already covers it.”
  • “Audit the langbot-skills repository for duplicated cases and stale references.”
  • “Add a new case for the Telegram adapter and put it in the right suite.”
  • “Check whether the committed index is current.”

Requirements

  • A checkout of the langbot-skills repository with its bin/lbs tool

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Read AGENTS.md, skills/.env, and the relevant existing skill files.
  2. Classify the change
  3. Search existing assets before adding new files
  4. Put detail in one canonical place and link to it from cases or routing bullets.
  5. Run the checks in AGENTS.md after edits.

What it can do on your machine

Read from SKILL.md and the folder at commit 0b5b4cc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • rg

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

LangBot Skills Maintenance loads about 603 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 270 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~603
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.5k

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.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:12
    1. Read `AGENTS.md`, `skills/.env`, and the relevant existing skill files.

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.

SKILL.md

The full file from langbot-app/LangBot at commit 0b5b4cc, republished under its Apache-2.0 licence (© langbot-app). 270 words, ~603 tokens.

Download SKILL.mdSave it as .claude/skills/langbot-skills-maintenance/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
langbot-skills-maintenance
description
Maintain the langbot-skills repository with low duplication. Use when adding, editing, or auditing LangBot skills, references, cases, troubleshooting entries, indexes, or periodic entropy-control checks for this skills repository.

LangBot Skills Maintenance

Use this skill before changing reusable assets in this repository.

Workflow

  1. Read AGENTS.md, skills/.env, and the relevant existing skill files.
  2. Classify the change:
    • SKILL.md for routing and concise operating rules.
    • references/*.md for canonical detailed workflows.
    • cases/*.yaml for executable test-plan skeletons.
    • suites/*.yaml for reusable groups of case ids.
    • fixtures/fixtures.json for deterministic fixture readiness metadata.
    • reports/evidence/<run-id>/automation-result.json as automation output and reports/evidence/<run-id>/result.json as final judgment output; neither is a catalog asset to commit.
    • troubleshooting/*.yaml for one reusable failure mode.
  3. Search existing assets before adding new files:
    • rg "<feature|error|case id>" skills
    • bin/lbs case list
    • bin/lbs suite list
    • bin/lbs fixture list
  4. Put detail in one canonical place and link to it from cases or routing bullets.
  5. Run the checks in AGENTS.md after edits.

Entropy Rules

  • Prefer extending an existing reference or troubleshooting entry when the root cause is the same.
  • Keep cases short: setup, action, evidence, pass/fail checks. Do not paste long prompts or debug transcripts when a reference exists.
  • Put machine-checkable inputs in env, automation_env, or fixtures; put operator-confirmed assumptions in preconditions so test plan can surface manual_check.
  • Keep suites short: title, intent, tags, and ordered case ids. Do not duplicate case steps inside a suite.
  • Keep fixture manifests factual: id, title, path, kind, and related case ids. Do not encode environment-specific absolute paths.
  • Keep troubleshooting entries narrow: symptoms, patterns, likely causes, fixes, related assets.
  • Do not hardcode local ports, browser profile paths, secrets, tokens, or provider keys.
  • Use bin/lbs index --check to verify the committed index is current without writing it; run bin/lbs index when the index needs regeneration.

For periodic repository audits, read references/curation-workflow.md.

© langbot-app, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/skills/langbot-skills-maintenance of langbot-app/LangBot.

  • SKILL.md
  • references/curation-workflow.md

Open the folder on GitHubat commit 0b5b4cc

Compare with similar skills

LangBot Skills Maintenance 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.

LangBot Skills Maintenance compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
LangBot Skills Maintenance this skilllangbot-app/LangBot18k—~603Automated safety check: NotesApache-2.0
Darwin Skill Optimizeralchaincyf/darwin-skill6.2k1 repos~4.7kAutomated safety check: PassMIT
Skill Creatorzhayujie/CowAgent47k—~4.7kAutomated safety check: NotesMIT
Open-Science Skill Creatoraipoch/open-science5.5k—~1.7kAutomated safety check: PassApache-2.0
Skill Quality ReviewerGalaxy-Dawn/claude-scholar5.7k1 repos~3kAutomated safety check: PassMIT
Prismer Skill CreatorPrismer-AI/PrismerCloud1.6k—~2.6kAutomated safety check: NotesMIT

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Categories

Questions about LangBot Skills Maintenance

What does LangBot Skills Maintenance do?

Guides changes to the langbot-skills repository so skills, references, cases, suites, fixtures and troubleshooting entries each live in one place with little duplication. env and the relevant existing files, then classifies the change.json carries fixture readiness metadata, and each troubleshooting file covers one reusable failure mode.

When should I use LangBot Skills Maintenance?

LangBot Skills Maintenance fits situations like: adding or editing a LangBot skill, reference, case or troubleshooting entry; deciding where a new piece of detail belongs before creating a file; running a periodic audit of the skills repository for duplication.

How do I install LangBot Skills Maintenance in Claude Code?

Run `npx skills add langbot-app/LangBot --skill langbot-skills-maintenance -a claude-code`. Or copy the skill folder (skills/skills/langbot-skills-maintenance in langbot-app/LangBot) into .claude/skills/langbot-skills-maintenance in your project. Claude Code loads it when a task matches its description.

How do I install LangBot Skills Maintenance in Codex?

Run `npx skills add langbot-app/LangBot --skill langbot-skills-maintenance -a codex`. Or copy the skill folder (skills/skills/langbot-skills-maintenance in langbot-app/LangBot) into .agents/skills/langbot-skills-maintenance in your project. Codex loads it when a task matches its description.

Can I use LangBot Skills Maintenance in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langbot-app/LangBot --skill langbot-skills-maintenance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/langbot-skills-maintenance, .gemini/skills/langbot-skills-maintenance, .github/skills/langbot-skills-maintenance and .opencode/skills/langbot-skills-maintenance in your project.

What does LangBot Skills Maintenance need to run?

Going by SKILL.md and its folder, LangBot Skills Maintenance needs the command-line tools its instructions call (rg). Our summary lists: A checkout of the langbot-skills repository with its bin/lbs tool.

Does LangBot Skills Maintenance access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is LangBot Skills Maintenance safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does LangBot Skills Maintenance use?

LangBot Skills Maintenance is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does LangBot Skills Maintenance use?

About 603 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 855 tokens, read only when the agent opens those files.

What are the alternatives to LangBot Skills Maintenance?

Skills that share tags, products or a category with LangBot Skills Maintenance: Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars), Skill Creator (zhayujie/CowAgent, 47k stars), Open-Science Skill Creator (aipoch/open-science, 5.5k stars) and Skill Quality Reviewer (Galaxy-Dawn/claude-scholar, 5.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains LangBot Skills Maintenance?

langbot-app (a GitHub organization) maintains it in langbot-app/LangBot, which has 18,094 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 11, 2026.

Source: langbot-app/LangBot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.