agentleFS
cognitive-fabcognitive-fab/polygraph/skills/workflow/SKILL.md

workflow

Skill16 starsChanged 3 months agoApache-2.0View on GitHub

Build an LLM-era feature as a WORKFLOW, not an agentic loop — the composition skill that drives the whole toolset end-to-end. Design the stages along the data flow with the user (each failure either bends back to ONE named stage carrying its exact signal under a bounded budget, or escalates to a human), front-load the contract and the never-happens invariants, author the machine with polygen, declare effects (determinism at the edges, the model as one well-scoped handler), prove the anti-loop rules with check-effects, run it durably under polyrun, and later evolve it with polyvers. Use when the user wants to "avoid the loop", de-loop an agent design, build a pipeline/workflow with an LLM step, replace a cron-scan or plan-act-reflect architecture, or asks how to apply the workflows-not-loops method to a new project. Trigger phrases: "workflow not a loop", "build this as a workflow", "de-loop this agent", "no agentic loop", "event-driven pipeline", "apply the manual".

74 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use build-keil, can-debug and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ZhongYechengSkill

    build-keil

    当需要通过 Keil MDK 命令行编译嵌入式工程,调用自带脚本解析工程文件、执行构建并定位固件产物时使用。

    Also in 3 projects that use this

  • ZhongYechengSkill

    can-debug

    当需要调试 CAN 总线通信时使用,支持通过 USB-CAN 适配器监听、发送 CAN 帧和扫描节点。

    Also in 3 projects that use this

  • iPlug2Skill

    build-cmake

    Build an iPlug2 plugin project using CMake with Ninja, Xcode, or Visual Studio generators

    Also in 3 projects that use this

  • +9 more from ZhongYecheng

The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 1 is distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 58 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Write contract.json before any code: observable state (the stage enum, the correction counters, the recorded signal), one event per stage …

    line 44
  2. Distinctive:

    Do not proceed past a reachable violation: fix the CODE at the counterexample (or fix a wrong contract and re-run) — never weaken an …

    line 79
  3. Very specific:

    If exploration reports BOUNDED, raise --depth until it says exhaustive — a bounded pass is not a pass.

    line 102
  4. Very specific:

    Write polyrun.config.mjs (machine, contract, effects, invariants paths + handlers) and a demo script — crib both from the examples.

    line 107
  5. Very specific:

    When the workflow changes shape, that is the polyvers skill: classify → migrate scaffold → check over fleet snapshots → polyrun.mjs migrate …

    line 120

“Common” is measured: kept by at least 6 in 10 of the 58 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

workflow — build it as a workflow, not a loop

The composition skill: where polygen authors one machine, this skill builds the whole feature the workflows-not-loops way, driving the other engines in order. The method's premise (after Adron Hall's "Loop Engineering" critique): an agentic loop exists to compensate for starved context, missing decomposition, and clock-driven correction — remove each reason and the loop collapses into a directed, checkable workflow. Each of those removals is an ARTIFACT here, not advice.

The full worked recipe with rationale is ${CLAUDE_PLUGIN_ROOT}/examples/workflows-not-loops/MANUAL.md; the two reference builds are ${CLAUDE_PLUGIN_ROOT}/examples/workflows-not-loops/ (document pipeline, incl. the v1→v2 polyvers evolution) and ${CLAUDE_PLUGIN_ROOT}/examples/todo-machine/ (an ordinary app: durable per-item timers replacing the cron scan, plus an HTTP shell). Read the MANUAL before Step 1; crib file shapes from the examples, not from memory.

Same disclosure as every engine: the checks are exhaustive over the contract's DECLARED finite domains — a consistency check, not a proof. The contract and invariants are a reading of intent and need the user's review.

Step 1 — Draw the pipeline as data flow (WITH the user, no tools)

One line per stage: what comes in, what goes out, what can go wrong. Then force the two-answer rule — for EVERY failure the user must pick exactly one:

  • bend back to ONE named stage, carrying the exact signal (violation, reason) verbatim, under a bounded budget (pick the number now); or
  • escalate to a human, terminal, with the reason recorded.

"Retry the whole thing" / "re-plan" is not an option — that is the loop sneaking back in. If the user cannot name the target stage and the signal, the design is not done. Also decide the fuzzy middle now: which single stage(s) does a model own? Everything else must be a deterministic function.

Step 2 — Contract + invariants (front-loaded context)

Write contract.json before any code: observable state (the stage enum, the correction counters, the recorded signal), one event per stage completion, dataDomain with concrete values for every field (a field without a domain is invisible to every checker downstream), terminal states including the escalation terminal, special rules naming the anti-loop intent, and the noOpRule (unexpected events are observable rejects — this is what makes duplicates and stale deliveries safe).

Then the never-happens list in invariants.mjs. The four anti-loop rules are standard — instantiate all four every time:

  1. the pipeline is directed: only the named bend(s) may move backward;
  2. correction counters move ONLY by exactly +1 under their signal (reflect-every-turn becomes unrepresentable);
  3. the signal is recorded VERBATIM (post state carries data.violation);
  4. budget exhaustion escalates — never another lap.

Plus the two hygiene rules: terminals frozen; stale/duplicate events are byte-for-byte no-ops. If the user cannot articulate invariants, run the polynv skill first — that is exactly what it elicits.

Step 3 — Author and check the machine

Author with the polygen skill (supply the Step-2 contract via --contract — do not let it redraft what the user already reviewed). No API key is required: per that skill's Step 0 the user chooses the scripted keyed path (CI-grade, pinned model) or the keyless in-session path — you author next.cjs in the strict-profile artifact style (copy the shape from the examples) and gate it yourself:

node ${CLAUDE_PLUGIN_ROOT}/scripts/check.mjs --spec next.cjs \
  --contract contract.json --invariants invariants.mjs

Do not proceed past a reachable violation: fix the CODE at the counterexample (or fix a wrong contract and re-run) — never weaken an invariant to make it pass.

Step 4 — Effects: determinism to the edges

Three artifacts (shapes in the examples): effects.cjs — a pure, edge-triggered mapper (entering a stage emits its intent; the bend-back payload carries the violation verbatim — that is the "fix this, not a re-plan" routing); effects.manifest.json — completion wiring as data (onSuccess/onFailure/onExhausted, retry policy; a DOMAIN failure is a permanent named error that becomes the signal, an INFRASTRUCTURE failure retries then escalates); and effect-invariants.mjs — the emission rules: no correction without a signal (stage runs ≤ 1 + failure-signal count), blast-radius containment (a bend never re-emits upstream stages), ordering (no render before its gate), bounded totals. Timers (due dates, timeouts) are effect intents carrying enough data for the machine to reject stale firings — never app-side cancellation logic. Check the composition:

node ${CLAUDE_PLUGIN_ROOT}/polyrun/bin/polyrun.mjs check-effects --config polyrun.config.mjs

If exploration reports BOUNDED, raise --depth until it says exhaustive — a bounded pass is not a pass.

Step 5 — Run it under polyrun

Write polyrun.config.mjs (machine, contract, effects, invariants paths + handlers) and a demo script — crib both from the examples. Handlers are plain async functions; the model step is just one more handler under an idempotency key. The integrator writes ZERO orchestration code. Gate with polyrun.mjs deploy --config …, then run the demo and read the journal aloud with the user: count the laps. The journal should show a directed pass, bends only where signals demanded them, and stale/duplicate events as observable rejects. The journal is also a Polygraph trace corpus — name that: /polygraph:verify over real captured traces is the drift check after integration.

Step 6 — Evolution (later, but say it now)

When the workflow changes shape, that is the polyvers skill: classify → migrate scaffold → check over fleet snapshots → polyrun.mjs migrate --apply → deploy gate. Tell the user this exists at handoff so the first schema change doesn't get hand-rolled.

The two loops that legitimately survive

Name these in the handoff, so "no loops" is never overclaimed: the runtime correction bend (bounded, signal-driven, then a human) and polygen's self-repair at authoring time (iterates only on a concrete model-checker counterexample, budgeted). Any third loop in the design must answer "what signal triggers it and what bounds it" — no answer means it is ceremony, and the Step-2 invariants should be making it unrepresentable.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.