agentleFS
conscientiousnessconscientiousness/herdr-pstack-orchestrator/skills/automate-me/SKILL.md

automate-me

Skill1 starsChanged 16 days agoMITView on GitHub

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 create-skill + unslop, optionally pulling fresh evidence from recent transcripts.

We split this skill into the rules it gives an agent

11 rules. 9 are common, 0 are distinctive, and 2 are very specific to this project.

  • 9

    Common

    Most of the 42 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

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

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

    Look recursively for .cursor/skills//*-mode/SKILL.md and ~/.cursor/skills/*-mode/SKILL.md matching the user's handle.

    line 21
  2. Common:

    Update the existing skill (default for repeat runs)

    line 23
  3. Common:

    Start fresh (rare, ask why before doing it)

    line 24
  4. Common:

    Update mode changes the rest of the flow:

    line 26
  5. Common:

    Don't dump 20 questions.

    line 52
  6. Common:

    Subagents: default, parallelism, model-to-task, specialized workflows.

    line 61
  7. Very specific:

    Use Cursor's built-in create-skill skill to author the skill.

    line 71
  8. Common:

    Keep sections minimal: Only add a section if the user has a specific, non-default rule there.

    line 94
  9. Common:

    Name conventions generic: Use "the user" or "the human" in imperatives, not the author's first name.

    line 95
  10. Common:

    Don't force symmetry: If a user has no process rules worth writing down, skip the Process section entirely.

    line 96
  11. Common:

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

    line 102

“Common” is measured: kept by at least 6 in 10 of the 42 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

Herdr runtime

Before following the original instructions below, read the sibling pstack-herdr skill and its required mapping. Resolve relative references from this installed skill directory. Use a named sibling skill by reading ../<name>/SKILL.md, because explicit-only siblings are not in the harness skill list. The mapping translates original repository paths to bundled resources; no separate upstream checkout is needed. The Herdr mapping overrides upstream delegation tools, model defaults, setup files, and Cursor-specific capabilities. Delegate only through horch, using workers.toml. Keep workflow coordination in the controller. A bounded worker assignment remains bounded: do not start nested workers. User and project instructions take precedence. Check required capabilities before acting; keep unavailable steps unresolved. For setup-pstack, use the adapter's role setup instead of the original Cursor rule-writing procedure.

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 others: an inline mining pass (see step 1), Cursor's built-in create-skill (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 .cursor/skills/**/*-mode/SKILL.md and ~/.cursor/skills/*-mode/SKILL.md matching the user's handle. Mode skills can live in a personal category directory (.cursor/skills/<handle>/), not only at the top level. If one exists, confirm intent with AskQuestion (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. The system prompt names the workspace's agent-transcripts/ directory. Use only that path. Don't glob across ~/.cursor/projects/*/. That crosses workspace boundaries and reads private chats from unrelated projects.

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). Pick each subagent's reasoning level and fast or standard speed for the job, per the Subagents section of the poteto-mode skill. Each slice mining subagent reads transcripts from the workspace-scoped path 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 AskQuestion tool (structured multi-choice) rather than asking the user to type from scratch.

Shape: one or two questions with 4-6 options each, allow_multiple: 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 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 Cursor's built-in create-skill skill to author the skill. Placement:

  • Path: preserve an existing mode skill's category. For a new mode, use .cursor/skills/<handle>/<handle>-mode/SKILL.md when the repo has an established personal category for that handle. Otherwise default to .cursor/skills/<handle>-mode/SKILL.md in the project (or ~/.cursor/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 + /<handle>-mode + "work in their style", not on generic keywords like "write code" or "review PR".
  • Frontmatter formatting: follow create-skill'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 create-skill'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 create-skill-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): create-skill 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.

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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.