Brigade Work logo

Brigade Work

Organization
escoffier-labs
brigade-work

Use at the start of any work session and whenever you verify a change in a Brigade Stack-wired repo or workspace - routes work through Brigade Stack so verification, outcomes, evidence export, and handoffs are captured (verify with capture → outcome from run → evidence brief next time) instead of leaving Brigade Stack installed-but-dormant. Triggers on starting a task, running tests/checks, or finishing a session.

Overview

Publisherescoffier-labs
Repositorybrigade
Skill namebrigade-work
Stars
82
Forks
9
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by escoffier-labs on GitHub. Read the source before you install it.

Installation

Install the Brigade Work AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/escoffier-labs/brigade/tree/main/plugins/brigade/skills/brigade-work
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/escoffier-labs/brigade.git /tmp/brigade
mkdir -p .claude/skills
cp -r /tmp/brigade/plugins/brigade/skills/brigade-work .claude/skills/brigade-work
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brigade Work in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Brigade Work on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Brigade Work is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

brigade-work

Brigade Stack only earns its keep if real work flows through it. Installed and never used, it is dead weight: the daily brief is empty, the outcome ledger never fills, and outcome rank says "ranking: none". This skill is the loop that feeds it. Check what is pending, run your verification through Brigade Stack so it produces a signed receipt, record the outcome against the skill or card that did the work, export receipts so the next run gets an evidence brief, and hand off what you learned.

Core principle: the model never grades its own work. Receipts record observed exit codes; ad hoc verify receipts provide audit evidence, while eligible manifest-backed receipts can score an artifact. Route verification through Brigade Stack, capture the outcome, and feed receipts forward via MiseLedger when installed. Check scoreability before claiming a result affects ranking.

When this applies

The repo or workspace is Brigade Stack-wired: a .brigade/ directory exists, or brigade status --target . succeeds. If neither is true, this skill does not apply (run brigade init first only if the user wants Brigade Stack here).

The loop

1. Start: see what is pending

At the start of a work session, before deciding what to do:

bash
brigade work brief --target .        # pending work, imports, warnings, suggested next command

In a memory/operator workspace, brigade daily status --target . is the lighter equivalent. Read it first.

2. Verify THROUGH Brigade Stack, not raw

When you would run tests or a check to confirm a change, run it through Brigade Stack so it records the exit code:

bash
brigade work verify run --target . --command "<your test command>"   # e.g. "pytest -q", "npm test", "go test ./..."

This writes an audit receipt under .brigade/work/verify-runs/<run-id>/ with the real status. Running tests raw produces no Brigade receipt. Neither a raw test result nor an ad hoc receipt scores an artifact.

To do steps 2 and 3 in one command (so the capture is never forgotten), pass --capture:

bash
brigade work verify run --target . --command "<test command>" --capture <id>

For scoreable evidence, use an existing registered verifier manifest tracked under verify/manifests/:

bash
brigade work verify run --target . --manifest <registered-manifest-id> --capture <id>

Inspect the reported eligibility and reason. Do not create or alter a manifest merely to make a result count.

3. Capture the outcome against what did the work

Immediately after a verify run (if you did not use --capture), record the result against the skill or card you exercised:

bash
brigade outcome capture <skill-or-card-id> --run-id latest --kind skill

Ad hoc --command and --argv-json receipts are audit-only evidence and cannot score an artifact. Scoreable evidence requires a registered verifier manifest tracked under verify/manifests/ with subject/check metadata and artifact attribution. Inspect the receipt eligibility and reason. Capture observed failures too; capture does not make an audit receipt scoreable.

Name an id you actually have. Capturing against an id Brigade Stack does not recognize prints a warning and pollutes the ranking. The id is whatever genuinely guided the change:

  • the actual installed skill that guided the work;
  • a memory card under memory/cards/ (use --kind card);
  • brigade-work itself - a fresh repo always has this one, so when nothing else applies, capture against brigade-work.

Do not invent a skill name you are not running just to have something to capture against.

4. Export receipts so the next run can reuse them (optional stations)

When GraphTrail and MiseLedger are installed, close the receipts-to-context loop so the next run sees measured evidence, not only a handoff. brigade work verify run --capture <skill> auto-exports and imports pending receipts after capture (fail-open when miseledger is absent). For backlog catch-up or fleet repos, run manually:

bash
brigade receipts export miseledger --target . --new-only --import   # fail-open if miseledger is absent
# next brigade run attaches a capped evidence brief from MiseLedger automatically
# or fetch on demand:
brigade work import context --from-miseledger "auth receipts" --target .

GraphTrail is what makes the brief measurable: verify/run receipts carry code_graph_delta, and non-read-only runs record context_eval.brief_hit_rate (did the pre-run context name the files the run actually touched?). brigade outcome rank surfaces mean brief hit rate per skill as a quality signal (secondary sort; install/rollback still use exit-code signals only).

One-glance loop health:

bash
brigade operator checkup --target .   # doctors + graph ok / ledger ok / last brief hit rate

5. Finish: handoff, and let the ratchet run

At session end, write a Memory Handoff for any durable knowledge (use your handoff inbox's TEMPLATE.md; brigade handoff-template prints it). The ratchet then closes itself, on a schedule or by hand:

bash
brigade outcome rank --target .            # most-proven skills first (and brief_hit when present)
brigade outcome reconcile --target .       # dry-run; --apply promotes a proven skill / rolls back a regressed one across harnesses

reconcile --apply installs a proven skill only if it lives in the registry. To make a candidate skill promotable, accept it first (brigade skills inbox accept <id>); the ledger id must match the registry slug. A reconcile that cannot install reports install-skipped: not in registry and leaves the skill a candidate (it never silently marks it promoted).

Rules

  • When a result should count, verification runs through brigade work verify run, never raw.
  • Capture an outcome after every verify, naming the skill or card that did the work.
  • One verify, one capture. Never batch or invent outcomes - the receipt is the evidence.
  • Prefer run-receipt capture (outcome capture --run-receipt latest) when the worker run is what changed code; verify receipts often have no-op graph deltas.
  • Export receipts into MiseLedger when the evidence station is installed so the next run's context is measured, not guessed.
  • End-of-session handoffs stay mandatory; this skill adds the verify-and-capture-and-feed-forward half of the loop.

Common mistakes

  • Running tests raw leaves no Brigade receipt. Capturing an ad hoc receipt records audit evidence but does not supply a score for outcome rank.
  • Capturing against a skill you did not actually use, which poisons the ranking.
  • Skipping capture on failures loses audit evidence. Failures can affect artifact ranking only when the receipt meets the scoring and attribution requirements.
  • Treating Brigade Stack as install-and-forget. It is dormant until work flows through it; this skill is how the work flows.
  • Stopping at capture without export: receipts pile up locally and the next brigade run has no MiseLedger evidence brief to attach.
  • Putting shell operators in the verify command. brigade work verify run splits --command with shlex and runs it with shell=False in the --target directory, so cd x && pytest, pipes, and && do NOT work. Set the working directory with --target <dir> and pass a single command, e.g. --target ./pkg --command "pytest -q".

Frequently asked questions

What does the Brigade Work AI skill do?

Use at the start of any work session and whenever you verify a change in a Brigade Stack-wired repo or workspace - routes work through Brigade Stack so verification, outcomes, evidence export, and handoffs are captured (verify with capture → outcome from run → evidence brief next time) instead of leaving Brigade Stack installed-but-dormant. Triggers on starting a task, running tests/checks, or finishing a session.

Why use Brigade Work on TypingMind?

Because you install it once and use it with any model. Brigade Work is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Brigade Work in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/escoffier-labs/brigade/tree/main/plugins/brigade/skills/brigade-work. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Brigade Work?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Brigade Work?

As many as you like. As long as a model supports skills, you can use Brigade Work with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Brigade Work AI skill free?

Yes. It is published on GitHub by escoffier-labs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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