Agent skill

Bangle Followup Operator

by bangle-io in bangle-io/bangle-io

Operate recurring Bangle.io agent follow-ups after a thread has already started.

AGPL-3.0Auto-check passedDevelopment

Install Bangle Followup Operator

skills CLI
$ npx skills add bangle-io/bangle-io --skill bangle-followup-operator -a claude-code

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

GitHub CLI
$ gh skill install bangle-io/bangle-io bangle-followup-operator --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/bangle-io/bangle-io.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/bangle-followup-operator .claude/skills/bangle-followup-operator && 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
bangle-followup-operator
GitHub stars
1.2k
Token cost
~991 tokens
SKILL.md length
467 words
Files
2
Skills in repo
5
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Operate recurring Bangle.io agent follow-ups after a thread has already started.

  • Works in 3 steps: Read the latest prompt and recent… → Check repository state from the root:… → Infer terse prompts like continue, what…
  • The user asks to continue
  • SKILL.md covers Overview, Reconstruct State, Route the Follow-up and Close Out
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Bangle Followup Operator is an agent skill from bangle-io/bangle-io. Operate recurring Bangle.io agent follow-ups after a thread has already started. Use when the user asks to continue, check status, decide what is next, push, create or update a PR, poll CI, rebase, merge, release, run Playwright/manual UX checks, spawn or aggregate code-review subagents, run thermonuclear review, address review findings, make a plan, add a project task, or asks "we good?", "pushed?", "PR?", "did you test?", "what should I test?", or similar follow-up prompts in the Bangle repo.

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Development, covering Code review, Browser testing and Subagents. It works with Playwright. The repository describes itself as: A web only WYSIWYG note taking app that saves notes locally in markdown format. v2: https://app.bangle.io/. The licence is AGPL-3.0.

When your agent uses it

  • The user asks to continue
  • Decide what is next
  • Run Playwright/manual UX checks
  • Aggregate code-review subagents

Example prompts

  • “we good?”
  • “pushed?”
  • “did you test?”
  • “/bangle-followup-operator”

Workflow steps

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

  1. Read the latest prompt and recent conversation turns using the thread/history tools available in the current agent environment.
  2. Check repository state from the root: branch, dirty files, remotes, active PR, recent commits, and any generated worktree context.
  3. Infer terse prompts like continue, what next, we good, pushed?, or PR? from the immediately previous work before asking for clarification.

What it can do on your machine

Read from SKILL.md and the folder at commit c3310c5. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Bangle Followup Operator loads about 991 tokens when it runs. Until then it costs about 131 tokens; SKILL.md has 467 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~131
When it runs · the whole SKILL.md, loaded when a task matches
~991

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 passed

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.

SKILL.md

The full file from bangle-io/bangle-io at commit c3310c5, republished under its AGPL-3.0 licence (© bangle-io). 467 words, ~991 tokens.

Download SKILL.mdSave it as .claude/skills/bangle-followup-operator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
bangle-followup-operator
description
Operate recurring Bangle.io agent follow-ups after a thread has already started. Use when the user asks to continue, check status, decide what is next, push, create or update a PR, poll CI, rebase, merge, release, run Playwright/manual UX checks, spawn or aggregate code-review subagents, run thermonuclear review, address review findings, make a plan, add a project task, or asks "we good?", "pushed?", "PR?", "did you test?", "what should I test?", or similar follow-up prompts in the Bangle repo.

Bangle Follow-up Operator

Overview

Use this skill to convert short Bangle follow-ups into the next concrete action. Keep repository-wide engineering policy in AGENTS.md/CLAUDE.md; keep plan-specific policy in plans/AGENTS.md.

Reconstruct State

  1. Read the latest prompt and recent conversation turns using the thread/history tools available in the current agent environment.
  2. Check repository state from the root: branch, dirty files, remotes, active PR, recent commits, and any generated worktree context.
  3. Infer terse prompts like continue, what next, we good, pushed?, or PR? from the immediately previous work before asking for clarification.

Route the Follow-up

Continue or status
  • Inspect unfinished commands, partial edits, unpushed commits, failed checks, and PR/CI state.
  • Report exact current state, then continue the next unfinished step.
Review or subagent request
  • For thermonuclear review, use the thermonuclear-code-quality-review skill.
  • For normal review or subagent review, pass raw scope: repo path, branch/PR, diff target, constraints, and whether the agent may edit.
  • Aggregate findings into must fix, worth fixing, and defer/track.
Address findings or "do it"
  • Re-read the cited code and tests before editing.
  • Implement only fixes that match the user's scope and improve the branch.
  • Prefer changes that reduce total uncertainty and complexity. Type and lint cleanup has strong ROI when it clarifies a real boundary, improves useful caller inference, or makes an invalid state unrepresentable. Reconsider it when satisfying the rule adds conditional type machinery, assertions, or downstream churn without a concrete new guarantee. Type-level wildcards and runtime boundary leaks can look similar in a scan but have different risk; judge the resulting API and implementation, not the warning count alone.
  • After edits, run focused checks first, then the required AGENTS.md gates for the changed surface.
Show full SKILL.md (190 more words)Show less
UI, UX, or Playwright follow-up
  • Use playwright-cli, browser, or Chrome tools when the user asks for manual UX validation, screenshots, authenticated Chrome, or visual comparison.
  • If the user points at production, t3code, prosekit, or another local reference, inspect that reference before claiming parity.
PR, git, CI, and deploy follow-up
  • Before push/PR/merge/release, verify branch, remote, dirty state, and target PR.
  • After push, provide the PR URL or branch and poll relevant GitHub checks when requested.
  • For Cloudflare preview or GitHub Action comments, verify whether displayed commit hashes are PR head SHAs, merge SHAs, or deployment branch SHAs before patching.
  • For releases, use the applicable Bangle release skill and AGENTS.md release gates.
Planning or project task
  • For durable plans under plans/, read plans/AGENTS.md first.
  • For adding, updating, triaging, scheduling, or reconciling Bangle project items, use bangle-project-operator.
  • When a plan is fully done, move it to plans/archived/, set status: completed, set archived: true, set archived_on: YYYY-MM-DD in the YAML frontmatter, update updated, and include the DONE note required by plans/AGENTS.md.

Close Out

  • State what changed or what was found.
  • Include branch/PR/push/CI status when relevant.
  • Include checks run and any checks intentionally not run.

© bangle-io, AGPL-3.0. 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 in .codex/skills/bangle-followup-operator of bangle-io/bangle-io.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit c3310c5

Compare with similar skills

Bangle Followup Operator 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.

Bangle Followup Operator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bangle Followup Operator this skillbangle-io/bangle-io1.2k—~991Automated safety check: PassAGPL-3.0
QAKiln-AI/Kiln5.2k—~3.6kAutomated safety check: PassCustom licence
Code Reviewnteract/semiotic2.7k—~1.5kAutomated safety check: PassApache-2.0
Playwright Java QA ReviewTahanima/playwright-java-test-automation-architecture113—~561Automated safety check: PassMIT
Verifier SetupAI-Builder-Club/skills1.3k—~2.1kAutomated safety check: PassNone
Review And Fixhmislk/hmis236—~4.9kAutomated safety check: PassGPL-3.0

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Works with

Questions about Bangle Followup Operator

What does Bangle Followup Operator do?

Operate recurring Bangle.io agent follow-ups after a thread has already started. Bangle Followup Operator is an agent skill from bangle-io/bangle-io.io agent follow-ups after a thread has already started.

When should I use Bangle Followup Operator?

Bangle Followup Operator fits situations like: the user asks to continue; decide what is next; run Playwright/manual UX checks; aggregate code-review subagents.

How do I install Bangle Followup Operator in Claude Code?

Run `npx skills add bangle-io/bangle-io --skill bangle-followup-operator -a claude-code`. Or copy the skill folder (.codex/skills/bangle-followup-operator in bangle-io/bangle-io) into .claude/skills/bangle-followup-operator in your project. Claude Code loads it when a task matches its description.

How do I install Bangle Followup Operator in Codex?

Run `npx skills add bangle-io/bangle-io --skill bangle-followup-operator -a codex`. Or copy the skill folder (.codex/skills/bangle-followup-operator in bangle-io/bangle-io) into .agents/skills/bangle-followup-operator in your project. Codex loads it when a task matches its description.

Can I use Bangle Followup Operator 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 bangle-io/bangle-io --skill bangle-followup-operator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bangle-followup-operator, .gemini/skills/bangle-followup-operator, .github/skills/bangle-followup-operator and .opencode/skills/bangle-followup-operator in your project.

What does Bangle Followup Operator need to run?

SKILL.md names no scripts, command-line tools or credentials: Bangle Followup Operator is instructions for the agent only.

Does Bangle Followup Operator 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 Bangle Followup Operator safe to install?

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.

What licence does Bangle Followup Operator use?

Bangle Followup Operator is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bangle Followup Operator use?

About 991 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Bangle Followup Operator?

Skills that share tags, products or a category with Bangle Followup Operator: QA (Kiln-AI/Kiln, 5.2k stars), Code Review (nteract/semiotic, 2.7k stars), Playwright Java QA Review (Tahanima/playwright-java-test-automation-architecture, 113 stars) and Verifier Setup (AI-Builder-Club/skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bangle Followup Operator?

bangle-io (a GitHub organization) maintains it in bangle-io/bangle-io, which has 1,233 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 5, 2026.

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