Skip to content
Skill Authoring
Skill

/gentle-ai-bench

Trigger: bench, journey, journeys, driven mode, gentle-ai-bench, journey corpus, j-numbers, bench axis. Author and verify gentle-ai bench journeys; go test ./bench never proves driven execution.

BOOST
From plugin
gentle-ai
7.8k18 skills11 agents2 commands
Install
$ npx -y skills add Gentleman-Programming/gentle-ai --skill gentle-ai-bench --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/gentle-ai-bench

Context preview

The summary Claude sees to decide when to auto-load this skill.

Trigger: bench, journey, journeys, driven mode, gentle-ai-bench, journey corpus, j-numbers, bench axis. Author and verify gentle-ai bench journeys; go test ./bench never proves driven execution.

SKILL.md

gentle-ai-bench.SKILL.md
name: gentle-ai-bench
description: "Trigger: bench, journey, journeys, driven mode, gentle-ai-bench, journey corpus, j-numbers, bench axis. Author and verify gentle-ai bench journeys; go test ./bench never proves driven execution."
license: Apache-2.0
metadata:
  author: "Gentleman-Programming"
  version: "1.0"

Activation Contract

Load when touching `bench/` in gentle-ai, adding or changing a journey, changing a product semantic a journey might pin, or diagnosing a bench failure in CI's Unit Tests job.

Hard Rules

  • `go test ./bench` validates corpus declarations only. It does NOT execute journeys. The only driven proof is building the harness and the product binary and running the harness against it; a green `go test ./bench` claims nothing about execution.
  • Reproduce CI, do not guess invocations: read the Unit Tests step in `.github/workflows/ci.yml` and copy its exact build and `gentle-ai-bench run --binary ...` commands. Use `--only <journey-id>` to drive one journey.
  • Journey IDs are unique across every `journeys_*.go` file. The collision guard fails loudly naming both files; pick an unused ID by reading the corpus, never reuse a retired one.
  • Every journey declares `Review:` — `reviewOptedIn` (the runner enables receipt-driven development globally before the first step, uncounted, and fails the journey if the switch does not come on) or `reviewUntouched` (its subject IS the switch, or it has nothing to do with reviews). The declaration is mandatory; `validateCorpus` fails the run without it. Lifecycle journeys must not depend on the product default. Reviews default to ON; `reviewUntouched` does not imply OFF. Journeys requiring OFF must explicitly disable it, while default-mode journeys must assert ON/default with unset sources.
  • Every `execute` transition must carry a runnable command; the dead-execute guard fails the run otherwise.
  • When a ratified product semantic changes, grep the corpus for journeys pinning the OLD behavior before shipping. The corpus is a second test surface beyond unit tests; a journey asserting the defect keeps the defect green.
  • `dead_end` prints `n/a` unless the run actually measured one. Never fabricate a value to move the column.
  • A `by_design` exemption costs a shape from the closed vocabulary plus a verified quote of the product's own next-action text. If the quote no longer tells the operator what to do, it is a defect wearing an exemption.
  • Prefer a NEW `journeys_*.go` file when the shared ones are owned by open PRs; bump the core journey-count pin in the same change.

Execution Steps

1. Read the corpus area you touch and the CI invocation before writing. 2. Author or adapt the journey; update its title, step names, and comment to say WHY the expectation holds (cite the issue or ratified decision). 3. Run `go test ./...` in `bench/` for declarations, THEN the driven harness for execution; both results go in the PR body. 4. On semantic changes, list the journeys you checked for stale pins.

Output Contract

PR evidence includes the driven-mode summary line (completed / unsupported / failed counts) from a locally built binary, not only `go test` output.

Read more
Ships withgentle-ai

Gentle-AI configures the AI coding agents you already use: Claude Code, Cursor, OpenCode, Codex, Pi, and more. Choose persistent memory, Organic-Driven Development, curated skills, MCP servers, personas, and optional bounded review. Open source, no agent lock-in.

Get the whole plugin

Other skills on gentle-ai.