automate-me

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• SKILL.md

SKILL.md (first lines)

# Automate me

A guided flow for turning the user's working conventions into a skill agents will follow. The output is one `-mode` skill tailored to them (e.g. `jay-mode`, `priya-mode`).

This skill orchestrates three pieces: an inline mining pass (see step 1), the omp skill rules in step 4 (authoring), and the **unslop** skill (`skill://unslop`, prose discipline). It sequences them. It doesn't replace them.

## Flow

### 0. Check for an existing skill

Look recursively for `.omp/skills/**/*-mode/SKILL.md` and `~/.omp/agent/skills/*-mode/SKILL.md` matching the user's handle. Mode skills can live in a personal category directory (`.omp/skills/<handle>/`), not only at the top level. If one exists, confirm intent with `ask` (unless they already said "update my skill" or similar):

- Update the existing skill (default for repeat runs)
- Start fresh (rare, ask why before doing it)

Update mode changes the rest of the flow:
- Step 1 mines only history since the skill was last edited (`git log -1 --format=%cI <path>`).
- Step 2 asks what's changed or missing, not what to capture from zero.
- Step 4 edits the existing file in place. Preserve sections the user hasn't contradicted. Revise ones with new evidence. Add new sections only for genuinely new rules.

### 1. Mine their history

Locate the active workspace's transcripts before fanning out. They live in this workspace's session bucket, `~/.omp/agent/sessions/<encoded-cwd>/*.jsonl`. `<encoded-cwd>` is the cwd relative to `$HOME` with "/" turned into "-" and a leading "-" (`/Users/you/Code/app` becomes `-Code-app`). `omp config path` prints the agent dir. Use only that bucket. Don't glob across other buckets in `~/.omp/agent/sessions/`. That crosses workspace boundaries and reads private chats from unrelated projects.

Survey recent agent conversations within that scope for recurring patterns. Spawn `pstack-code` workers in one `task` batch across slices of history (e.g. last 2-4 weeks, split into 3 slices so each has enough material). Each slice mining worker reads session files from the workspace-scoped bucket the parent provides, looks for the signals below, and returns a short structured list of patterns it saw with evidence pointers. Read-only: do not edit files or run mutating commands. Default signals worth hunting:

- Response preferences (length, tone, format, "dumb it down" corrections)
- Delegation habits (subagents, models, specialized workflows, parallelism)
- Verification posture (what "done" means, unit tests vs live repro, reviewers)
- Code and prose discipline (style, principles cited, lint/format tools)
- Process conventions (worktrees, commits, PRs, review/merge tooling)
- Meta preferences (fixing skills mid-task, proposing new ones)

Cross-check across slices before elevating a signal. Patterns seen in 2+ slices are high-confidence. Lone signals are weak and usually get dropped.

### 2. Ask the user directly

Mining misses intent that hasn't come up yet. Use the `ask` tool (structured multi-choice) rather than asking the user to type from scratch.

Shape: one or two questions with 4-5 options each, `multi: true` for category questions. Start broad ("Which areas matter most?"), then follow up on selected areas with specific options. After the structured rounds, one free-form chat question catches anything the options missed.

Don't dump 20 questions.

### 3. Cluster findings

Group the combined signals into sections. Common ones (use only what applies):

- **Response style**: length, tone, format.
- **Autonomy**: how much to do without asking, MCP tool use.
- **Understand first**: which skills to reach for when scoping or investigating a change.
- **Subagents**: default, parallelism, model-to-task, specialized workflows.
- **Prose / code discipline**: principles, lint tools, style guides.
- **Review and verify**: repro posture, verification skills, live-testing tools.
- **Process**: git worktrees, commits, PRs, review/merge tooling.
- **Skills**: skill-authoring habits, fix-the-skill-first, proposing new skills.

The **poteto-mode** skill (`skill://poteto-mode`) shows the shape. Read it for granularity. Don't copy its content. The user's rules are not the same as poteto-mode's.

### 4. Draft the skill

Author the skill to the omp skill rules. One dir per skill with `SKILL.md` inside. Frontmatter `name` equals the dir name. Assets live inside the skill dir and are referenced as `skill://<name>/<path>`. No nested skill dirs. Placement:

- Path: preserve an existing mode skill's category. For a new mode, use `.omp/skills/<handle>/<handle>-mode/SKILL.md` when the repo has an established personal category for that handle. Otherwise default to `.omp/skills/<handle>-mode/SKILL.md` in the project (or `~/.omp/agent/skills/<handle>-mode/` if the user prefers a personal skill).
- Handle: the user's first name or chosen identifier.
- Frontmatter `description`: trigger on their name + `/skill:<handle>-mode` + "work in their style", not on generic keywords like "write code" or "review PR".
- Frontmatter formatting: keep `description` as one YAML scalar. Quote it or use `description: >-` with indented continuation lines when punctuation or wrapping requires it.
- Frontmatter `disable-model-invocation: true` by default. Opt out only if the user explicitly wants their mode to apply on every turn.
- Routing: the mode skill routes work through pstack. Point at `skill://poteto-mode` for the playbooks and at leaf skills by `skill://<name>` (for example `skill://how`, `skill://unslop`), not pasted excerpts.

### 5. Iterate on prose

Apply the **unslop** skill to every line.

Show the draft to the user and take feedback. Expect multiple iterations. Cut ruthlessly. A mode skill is not a manual.

### 6. Land it

Work in a worktree off main. Commit and open a PR. Don't push to main directly.

## Guardrails

- **Don't overfit to one conversation.** A preference stated once and contradicted another time is noise. Require multiple instances before codifying it.
- **Don't be clever.** Restating other skills' contents, inventing metaphors, or writing "poetic" prose for an agent reader is cost without benefit. Keep it operational.
- **Reference, don't inline.** Other skills the user relies on should appear as path references, not pasted excerpts. Same for any principle docs they maintain elsewhere.
- **Keep sections minimal.** Only add a section if the user has a specific, non-default rule there. "Communicate clearly" is not a section. "Short paragraphs. Tables when comparing options. Bullets only when items are genuinely parallel." is.
- **Name conventions generic.** Use "the user" or "the human" in imperatives, not the author's first name.
- **Don't force symmetry.** If a user has no process rules worth writing down, skip the Process section entirely.

## Evaluation

A `-mode` skill is subjective output. A test/iterate benchmark loop isn't useful here. Vibe-check with the user: does it read like them? Did it miss anything? Then ship.

Run a description-optimization loop only if the skill's trigger accuracy turns out to be a problem in practice.

## When not to use

- User wants a task-specific skill (not working conventions): write a regular skill to the omp skill rules in step 4, no mining required.
- User wants to capture one narrow workflow (e.g. "how I write commit messages"). That's a regular skill, not a mode skill.

From benkraus/pstack-omp, MIT.

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