---
name: automate-me
description: "Use for \"automate me\", \"create/update/refresh my -mode skill\", \"turn/capture my preferences or working style into a skill\", or wanting agents to follow how the user works. Drafts or revises a personal -mode skill via skill-creator + unslop, optionally pulling fresh evidence from recent transcripts."
disable-model-invocation: true
---

# Automate me

Use `delegate_task` for every spawn. Arena runners, architect runners, and interrogate reviewers are panels: one child per seat, including fallbacks. Every other role is a pool: pick the seat whose model best fits the job; spread same-role children in a wave across seats. Arena cross-judges prefer a different model family. Copy the chosen target from `<t3_pstack>` exactly, including all options; `inherit` means the parent model and omits `target`. If a pool spawn is rejected, report it and try the next seat; never invent targets or change options. Repeat fallback notes and report provider, model, or option mismatches. If a required role is missing, stop that spawn. Call `orchestrator_capabilities` once before the first delegation. Start each brief with the absolute `<pstack>` and `<models>` paths; include the relevant resolved role lines when children will delegate. Retain every `taskId`. With `mode: "async"`, spawn the wave and end the turn; completion wakes the parent. Do not poll children. Use `mode: "wait"` only when this turn needs the result; a wait timeout does not cancel the child. Cancel replaced or unneeded work with `task_cancel`.

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 others: an inline mining pass (see step 1), the `skill-creator` skill when available, otherwise direct Agent Skills authoring (authoring), and the **unslop** skill (prose discipline). It sequences them. It doesn't replace them.

## Flow

### 0. Check for an existing skill

Look recursively for `.agents/skills/**/*-mode/SKILL.md` and `the chosen harness user-skill directory/*-mode/SKILL.md` matching the user's handle. Mode skills can live in a personal category directory (`.agents/skills/<handle>/`), not only at the top level. If one exists, confirm intent with the harness question tool (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

Use `orchestrator_capabilities` to identify this thread as `parentThreadId`. Find earlier threads only in the current project with `t3_thread_search` and `t3_conversation_summary_list`. Read each relevant thread with `t3_thread_read`, paging with `afterPosition`. Children are read by their returned `childThreadId`. Never read provider transcript files. Cite the returned link verbatim, or `[title](t3-thread://v1/<exact-id>)` when no link is returned.

Survey recent agent conversations within that scope for recurring patterns. Run multiple parallel subagents across slices of history (e.g. last 2-4 weeks, split into 3 slices so each has enough material). Use the `how explorer` role's resolved target. Each slice mining delegate reads the bounded project thread IDs the parent provides, looks for the signals below, and returns a short structured list of patterns it saw with evidence pointers. 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 harness question tool (structured multi-choice) rather than asking the user to type from scratch.

Shape: one or two concise questions with options supported by the active harness schema. Offer multiple selection only when that tool supports it; never pass invented fields. 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 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

Use the `skill-creator` skill when available, otherwise write the Agent Skills folder directly to author the skill. Placement:

- Path: preserve an existing mode skill's category. For a new mode, use `.agents/skills/<handle>/<handle>-mode/SKILL.md` when the repo has an established personal category for that handle. Otherwise default to `.agents/skills/<handle>-mode/SKILL.md` in the project (or `the chosen harness user-skill directory/<handle>-mode/` if the user prefers a personal skill).
- Handle: the user's first name or chosen identifier.
- Frontmatter `description`: trigger on their name + `/<handle>-mode` + "work in their style", not on generic keywords like "write code" or "review PR".
- Frontmatter formatting: follow `skill-creator`'s YAML rules. 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.

### 5. Iterate on prose

Apply the **unslop** skill and `skill-creator`'s writing guidelines 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 `skill-creator`-style 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): `skill-creator` alone, 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.


Project skills live in `.agents/skills/`. If `.claude/skills` is absent, create a symlink to `../.agents/skills` for Claude discovery; preserve an existing directory. For a personal skill, ask which harness should load it and use that harness's actual user-skill directory. T3 has no universal user-skill folder.