stem
Engineering discipline for coding agents: size the work, keep every change on the record, verify against intent, never lose a session. stem.
Open source Open in the app JSON README (API)
About
Engineering discipline for coding agents: size the work, keep every change on the record, verify against intent, never lose a session. stem.cooking
Details
- Kind
- Plugins
- Topic
- No topic detected
- Publisher
- markskrypka
- Origin
- gemini
- Category
- ferramentas
- Version
- 0.1.0
- Stars
- 2
- Last push
- 2026-08-05T10:30:53Z
- Repository state
- ativo
- Language
- JavaScript
- License
- Apache-2.0
- Added
- 2026-08-30 14:13:39
- Updated
- 2026-08-30 14:13:39
- Origin id
markskrypka/stem
README
# stem.cooking Engineering discipline for coding agents. Plan first, build clean, keep every change on the record — and never lose a session. Coding agents are strong builders and weak engineers: work starts without sizing, decisions evaporate with the chat, sessions die with the context window, and output floods you with prose you have to read line by line. stem.cooking is a small, installable discipline that fixes exactly that — as plain instructions your agent follows, not a framework you operate. ## What's included - **One skill: `/stem`.** It sizes every task (Quick / Standard / Initiative / High-stakes), enforces the worklog, keeps responses short and scannable, and goes deeper on demand through its bundled references: plan (initiative folders with contract, work, decisions), research (timeboxed probes with sources and a recommendation), verify (done means checked against what was asked), debug (reproduce, root-cause, regression test), handoff (any fresh session continues from files alone). - **Two agents.** `probe` (read-only discovery, web-capable, sources required — research depth scales itself, one probe or several in parallel, without being asked) and `gate` (checks finished work against what was asked, runs tests, never edits). Both run in the foreground, return summaries not transcripts, and inherit the session's model. - **Session protection.** Every change lands in `docs/planning/worklog.md` as it happens — who, why, how, commit — so compaction never costs a phase of work. Hooks add a second layer where hosts allow one: blocking on Claude Code and Codex, reminder-grade on Cursor and Gemini CLI (see `hooks/README.md` for the honest per-host guarantees). ## Install ```sh npx skills add markskrypka/stem ``` installs the skill into every agent it detects (project scope by default, `-g` for global; on Windows without Developer Mode add `--copy`). Then type **`/stem`** (Claude Code, Cursor, and — via the extension — Gemini CLI; **`$stem`** in Codex). That's the whole setup. On arrival it reads the room before touching anything: recent commits, the working tree, the planning docs, your git name — and if uncommitted changes exist that no log explains, it asks whose they are instead of walking past. On first run it plants its managed block into the project's agent file: the always-on pointer plus a single current-state line, held between markers, regenerated in place as work moves, hard-bounded so it can never bloat. From then on every session starts already knowing where you left off — `/stem` right after a compaction resumes mid-thought. No manual setup, ever; the skill also activates by description when your agent recognizes the work. Per-host extras, each optional: - **Claude Code** — hooks: merge `hooks/claude-code.hooks.json` into `.claude/settings.json`. Agents: copy `agents/*.md` to `.claude/agents/`. - **Cursor** — reads `.claude/agents/` and the skills directly; hooks: commit `hooks/cursor.hooks.json` as `.cursor/hooks.json`. - **Codex** — agents: copy `hosts/codex/agents/*.toml` to `.codex/agents/`; hooks: copy `hooks/codex.hooks.json` to `~/.codex/hooks.json` and approve once via `/hooks`. - **Gemini CLI** — one command carries skills and hooks together: `gemini extensions install https://github.com/markskrypka/stem`. ## What using it feels like Nothing to operate. You talk to your agent the way you already do; the discipline sizes each request and applies exactly as much process as it deserves. Say "fix the login redirect bug" and the agent answers "Quick fix — doing it directly," fixes it, tests it, writes the worklog entry, and asks whether to commit. Say "build the checkout flow" and it answers "this spans sessions — opening an initiative," asks only the questions that actually matter, gets your explicit yes on scope, and keeps `docs/planning/active/checkout-flow/work.md` current while it builds. Bugs route through reproduce-first debugging, unknowns through timeboxed research with sources, and nothing meaningful gets called done before it is checked against what you asked for. Your entire interface: answer scope questions when work is big, say yes or no to commit offers, and read `docs/planning/` whenever you want the state of the world. Overrides always win — "plan it" forces an initiative, "just do it" skips one — and every skill can be invoked directly where your agent app supports it. When a session dies, nothing goes with it: the next session — tomorrow, another machine, a different agent app — reads `docs/planning/` and continues from the exact next action. ## The paper trail Everything the discipline writes lives in your repository under `docs/planning/` — committed like code, readable by humans, and enough on its own for any fresh session to state the goal, the status, the decisions, and the exact next action. The folder keeps itself honest: finished initiatives move to the archive automatically, stale statuses get refreshed on arrival, and duplicates get flagged — while your `CLAUDE.md`/`AGENTS.md` carries only the discipline's managed block, a pointer plus one state line that is replaced in place as work moves, never appended to. Bloat is structurally impossible on both surfaces. This repository runs under its own discipline: see [docs/planning/](docs/planning/) for the live example, starting with its own build. ## Principles No telemetry — the plugin makes no network calls of its own, ever. No personas — plain language, real engineering vocabulary, your authority at every consequential decision. Honest capability claims — where a host cannot enforce something, the docs say so instead of pretending. ## License Apache-2.0. See [LICENSE](LICENSE).