Agent skill

Ulw Maestro

by rlaope in rlaope/oh-my-hermes

[omh] Coding owner already chosen, handoff pending: prepares the handoff for the coding agent you already chose, composing its prompt from that agent's own installed skills; never selects the owner…

MITAuto-check passedMobile

Install Ulw Maestro

skills CLI
$ npx skills add rlaope/oh-my-hermes --skill ulw-maestro -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rlaope/oh-my-hermes ulw-maestro --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ulw-maestro .claude/skills/ulw-maestro && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ulw-maestro
GitHub stars
3.2k
Token cost
~5.1k tokens
SKILL.md length
2,843 words
Files
2 (incl. references)
Skills in repo
143
Repo updated
First seen
Licence
MIT

At a glance

[omh] Coding owner already chosen, handoff pending: prepares the handoff for the coding agent you already chose, composing its prompt from that agent's own installed skills; never selects the owner…

  • The user says: ulw-maestro
  • SKILL.md covers Why This Exists, Do Not Use When, Examples and Completion Checklist, plus 5 more sections
  • Calls claude and codex
  • Prepare the handoff

What it does

Ulw Maestro is an agent skill from rlaope/oh-my-hermes. [omh] Coding owner already chosen, handoff pending: prepares the handoff for the coding agent you already chose, composing its prompt from that agent's own installed skills; never selects the owner and never executes the work itself. Use when the user says: ulw-maestro, coding handoff, prepare the handoff, prepare a coding handoff, hand off the coding work, external executor handoff, handoff prompt, delegation prompt.

Its SKILL.md is about 5.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/executor-prompt-composition.md`).

It sits in Mobile, covering Mobile testing and debugging. The repository describes itself as: All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages. The licence is MIT.

When your agent uses it

  • The user says: ulw-maestro
  • Prepare the handoff
  • Prepare a coding handoff
  • Hand off the coding work

Example prompts

  • “/ulw-maestro”

What it can do on your machine

Read from SKILL.md and the folder at commit 7cd0d02. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • claude
    • codex

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ulw Maestro loads about 5.1k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 2,843 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~5.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rlaope/oh-my-hermes at commit 7cd0d02, republished under its MIT licence (© rlaope). 2,843 words, ~5,076 tokens.

Download SKILL.mdSave it as .claude/skills/ulw-maestro/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
ulw-maestro
description
[omh] Coding owner already chosen, handoff pending: prepares the handoff for the coding agent you already chose, composing its prompt from that agent's own installed skills; never selects the owner and never executes the work itself. Use when the user says: ulw-maestro, coding handoff, prepare the handoff, prepare a coding handoff, hand off the coding work, external executor handoff, handoff prompt, delegation prompt.

Maestro

This is a Hermes-native maestro workflow skill.

Why This Exists

maestro exists so a handoff to an already-chosen external coding CLI carries that CLI's own installed skills, a stated dispatchability boundary, and a captured session id instead of a guessed prompt; absent an explicit coding-owner choice, work runs inside the Hermes harness and no external coding CLI is selected, and this engine only loads once that explicit choice is already made.

Do Not Use When

  • No coding owner is chosen yet for this run; the Hermes harness stays the default and this engine never picks one.
  • The request is a concept question about maestro, prepared handoffs, or a coding-agent name, or a filename that happens to contain one -- answer directly instead.
  • The user wants advice on which coding owner to pick -- ask, don't compose.
  • The user is asking whether an owner CAN run right now -- use executor-runtime-readiness instead.
  • The request is lane-splitting or a full delivery cycle rather than one lane's handoff -- use ultrawork, which enters this engine for lanes with an external owner.

Examples

Good example:

  • Prompt: $maestro codex already agreed to take this -- compose the handoff prompt for the retry-queue fix.
  • Expected behavior: Confirm codex as the accepted owner, discover its installed skills, compose a role-arranged prompt with the required sections, and state the dispatchable handoff mode.
  • Why: The coding owner is already explicit and the work needs a skill-aware prompt, not owner selection.

Bad example:

  • Prompt: 맡길 사람 아직 안 정했는데 그냥 maestro로 프롬프트 만들어줘.
  • Expected behavior: Ask choose_executor for the coding owner before composing anything; never pick one on the user's behalf.
  • Why: No coding owner has been explicitly chosen yet, so composing a handoff would select the owner silently.

Completion Checklist

  • The selected coding or runtime owner is named before any implementation claim.
  • Prepared handoff, dispatch, execution, verification, review, CI, and merge states are separated.
  • The final status cites observed runtime evidence or keeps the work prepared_not_observed.
  • When Hermes is the selected coding owner this engine does not apply -- Hermes-native selection uses the Hermes runtime path, never this engine.
  • Dispatch never merges: collect each unit's fanout_unit_result/v1 evidence, verify the integrated combination of units (not just each one alone -- disjoint file scopes can still conflict at integration), and report merged/unmerged per unit in the closing brief. Merging the unit branches remains an explicit operator or reviewing-agent action; a dispatch receipt is never merge evidence.
  • The closing brief ends with the observed omh_run_summary summary_text verbatim, or an explicit run-summary not_available line -- never a model-estimated number.

Recovery Notes

  • If the selected executor is unavailable, ask for Codex, Claude Code, Hermes, or another runtime before retrying.
  • If dispatch or result evidence is missing, keep the handoff prepared_not_observed and expose the next observable action.

Workflow Lane

  • Current lane: Coding handoff (idea-to-deploy, llm-app-dev, cto-loop, deploy-and-monitor, code-review, build-failure-triage, verification-gate, security-safety-review, +28 more) - coding owners, handoffs, review, CI, and merge evidence.
  • If intent belongs to another lane, hand back to oh-my-hermes or name the adjacent workflow.
  • Shared product, routing, compatibility, and evidence rules: omh-routing/references/skill-common-rail.md.

Use When

Use once a lane's coding owner is an explicit external CLI and the work needs a prompt composed from that CLI's own installed skills, its readiness and permission checked, and its session captured for steering.

Strong routing signals: `$maestro`, `ulw-maestro`, `coding handoff`, `prepare the handoff`, `prepare a coding handoff`, `hand off the coding work`, `external executor handoff`, `handoff prompt`, `delegation prompt`, `コーディング委任`, `委任プロンプト`, `ハンドオフを準備`, `外部の実行エージェントに渡す`, `코딩 위임`, `위임 프롬프트`, `핸드오프 준비`, `외부 실행기 위임`, `코딩 에이전트에 넘기`, `编码委托`, `移交提示词`, `准备交接`, `交给编码代理`

Catalog Metadata

Category: execution Phase: external-handoff Hermes role: handoff-guide Quality tier: handoff-gated Reasoning demand: heavy

Quality bar:

  • Planning is not execution permission. Handoff requests authorize preparation only; explicit execution requests authorize only their scope, subject to readiness and permission probes. Clarify missing authority.
  • Require an explicit owner choice for this run: named now, confirmed when asked, or recorded as accepted_explicit_choice. Recommendations, plan mentions and previous owners do not count. For a missing, ambiguous or unready owner, ask choose_executor once and stop; never choose for the user.
  • Owner selection alone is not dispatch permission: prepare a Codex handoff only or use Codex, do not dispatch stays preparation-only. Use Codex to implement this now supplies both the owner choice and dispatch permission within scope, with no redundant confirmation. After readiness and permission probes, invoke the fanout-dispatch bridge (omh coding run for one unit); clarify missing owner or action authority first.
  • State the handoff mode before composing: claude-code is prompt-only (coding_prompt_handoff/v1 -- the prepared handoff record is never dispatchable and never described as a run; only the fanout-dispatch bridge -- omh coding fanout dispatch or its omh coding run single-run entry -- ever spawns a CLI), codex is a dispatchable coding_executor_handoff/v1, and omx-runtime/omo-runtime/omc-runtime are coding_runtime_handoff/v1.
  • Compose the prompt from the selected profile's DISCOVERED skills via omh coding executor-skills --profile <profile>: arrange the returned skills by the unit's role recipe, one named skill per step, using each skill's own invocation string verbatim (/name, /pack:name from its manifest, $name for a codex pack) -- never a guessed prefix. Empty discovery gets one explicit line -- "no installed skills discovered for <profile>; prompt composed generically" -- then compose generically. Load references/executor-prompt-composition.md for the full procedure.
  • A discovered skill is declared, never observed: a SKILL.md on disk is evidence the file exists, not that the receiving agent loads, enables, or honours it -- its own registry is the authority.
  • Hold every composed prompt to the executor prompting contract: the ten required sections in order (Goal, Do, Don't, Known context, Unknowns and decision rule, Expected result, Test, Progress and blockers, Evidence boundary, Task), a greppable Docs consulted: block (URL plus version, or the explicit none-line), and the six-section session summary shape on report-back.
  • Keep the composed prompt cache-stable: an invariant head that stays byte-identical across units and re-dispatches, with only the tail varying.
  • Before real dispatch, observe execution (a --version or no-op call) and read the configured model from the executor's own config or output; a binary on PATH plus an auth file is prepared, never observed. Run a bounded permission probe before the real dispatch.
  • When the user names a model for this delegated run (for example "opus로 돌려줘", "fable로 돌려줘", "use opus"), pass it through omh coding run's --model flag (or the unit's model field under omh coding fanout dispatch) using the executor's own accepted identifier -- codex and claude-code both take --model, so an alias like opus or a full id like claude-opus-5-5 reaches the CLI unmodified; Claude Code's opus alias tracks the provider's recommended Opus (Opus 5.5 needs Claude Code v2.1.280 or later; on Microsoft Foundry it resolves to Opus 4.6).
  • That named model is handed to the executor verbatim, unvalidated; an unknown or unentitled value surfaces as the executor's own observed exit failure, never a silent fallback to the dispatch-model preference or the executor's own default.
  • The fanout-dispatch bridge -- omh coding fanout dispatch for a multi-unit split, or omh coding run for one unit -- is the only executing surface, explicit per invocation, and it never merges; preparing, composing, or showing a prompt is never dispatch, and a dispatch receipt is never review, CI, or merge evidence.
  • To carry the files the Hermes session already touched into the handoff, cite session_file_activity/v1 (omh quality-evidence file-activity --hermes-session <id> --json): the workspace files its read_file, write_file, and patch calls named, with the outcome Hermes recorded -- never file-content, diff, test, review, CI, or merge evidence.
  • Capture the executor's session id at dispatch (--output-format json -> session_id for Claude Code, --json -> thread_id for Codex) and carry it into every status line; a missing id is reported as unsteerable, never silently attached.
  • Observe to a terminal state: after dispatch, poll omh coding fanout status --fanout-id <fanout-id> --json about every 60 seconds until the roster's own all_units_terminal is true, and read stuck_units on every poll rather than scanning the rows yourself. Per unit, terminal is the answer and unit_state is why -- a lifecycle_state of unit_verification_observed or integration_ready, or a recorded failure_diagnostic, is what makes a finished unit terminal -- with last_event_age_seconds the time since that unit's last observed output, progress.seconds_since_new_output the time since its output last grew, and capacity.next_action the reason a refused unit was refused. A unit that is progress_stalled, awaiting_input, account_limit, permission_blocked, or data_missing needs intervention NOW, not more waiting: a live process with no new evidence is not progress, and re-running under the same account, the same credentials, or the same missing objects repeats the failure exactly. Never end a turn on "waiting for the worker" while a unit sits in one of those states. all_units_terminal is also false when the roster is empty and when a unit has neither a marker nor a summary row, so give the loop a wall clock of its own: a unit whose unit_state is still unknown after about ten minutes is a missing record to chase, not a unit to keep waiting on, and a poll loop with no bound is the stall it was meant to catch.
  • A finished dispatch is an event to act on in the same turn, not a status to report: verify that unit's result, record the outcome on the plan (done, or blocked with its reason), then run the recovery or start the next item. Never announce a continuation that has not actually started -- a closing sentence promising the next step, with no dispatch and no plan change in the same turn, is the failure this rule exists for.
  • Write every steering delta as more than a restated brief: name the changed constraint, the new evidence, the required action, and whether the verification target moved.
  • A mid-run user message is an interjection, not a stop: answer it briefly and, in the same reply, continue the run — re-read the phase todo when one is active and dispatch or advance the next pending step, or name the armed wait it is waiting on -- handle, bound completion signal, deadline -- instead of re-reading status. Only the user's explicit stop or cancel, or the engine's own completion gate, ends the run; when the interjection changes scope, say so and update the declared plan or todo instead of silently abandoning it. A mid-run message is the latest steering for the active task, not automatically a replacement objective: it replaces the objective when the user says so and steers the current one otherwise.
  • A follow-up that needs new authority, materially expands the scope, or changes external state not already authorized is described first and started only on the user's approval: the turn ends by naming that next action and asking whether to take it, as one question carrying the choices the user has, never by declaring what will not be done; persistence never broadens the authorized scope. A refused escalation is answered the same way, with a safer alternative inside the boundary or the authorization the boundary asks for — never a workaround or an indirect execution.
  • The closing brief scales to the change: one or two sentences plus the observed validation for a simple change, more only when the complexity earns it. Lead with the result or decision, in the user's words; omit abandoned approaches unless they explain a tradeoff the reader needs; narrate no internal bookkeeping (todo transitions, waits). When the work stops at a boundary or at a decision the user owns, end with the next action offered as a question, and state what was left undone as the option it leaves open, never as a refusal. Required closing lines stay outside this scaling: the observed run summary, and any prepared-not-observed or unmerged work, are stated whatever the brief's length.
  • Entered from an ulw-work lane, own that lane's handoff only -- lane framing, disjointness, integration verification, and the closing brief stay with ulw-work; report back in that lane's evidence vocabulary.
  • Close with the localized omh_run_summary summary_text verbatim as the final lines, or an explicit run-summary not_available line -- never an estimated number.
Show full SKILL.md (878 more words)Show less

Handoff policy:

Convert an explicitly chosen external coding owner into a prepared handoff: claude-code as a prompt-only coding_prompt_handoff/v1 (never dispatchable, never described as a run), codex as a dispatchable coding_executor_handoff/v1, and omx-runtime/omo-runtime/omc-runtime as coding_runtime_handoff/v1. This engine loads only after that choice is made -- absent an explicit coding-owner choice, work runs inside the Hermes harness and no external coding CLI is selected -- and it never substitutes for the Hermes harness path or picks the owner itself.

Executor readiness:

  • When accepted work mutates code, check executor_readiness/v1 for the selected Codex, Claude Code, Hermes, or oh-my runtime path before first dispatch.
  • If readiness is missing or blocked, ask the user to choose another coding agent, configure PATH, continue in Hermes, or keep a prompt/runtime handoff; retry only after that state changes.
  • A readiness probe is not dispatch, implementation, verification, review, CI, merge-readiness, or merge evidence.

Delegation transparency:

  • When delegating, show the composed delegate prompt in a fenced code block in the status message; truncate a long prompt to a bounded preview ending with ... [truncated, N chars total] — the user must see WHAT was asked, not just that something was.
  • Name every delegated or parallel lane's model and, when the host exposes it, its reasoning effort inline as (model effort) in status and briefing lines — including runtime-native subagents; when no effort is exposed, show the model alone as (model) rather than writing a placeholder like unknown beside a known model, and never emit empty parentheses. Carry token and elapsed figures the same way in these narration lines: report observed figures and omit unobserved ones — when the user asks for a figure directly, say it was not observed instead of omitting it; a rendered status-board column keeps its own unknown cell.
  • Capture a resumable session or thread id at dispatch and report it in the status message: for non-interactive Claude Code pass --output-format json and read session_id from the result (resume with claude -p --resume <session-id>); for Codex pass --json and read thread_id (resume with codex exec resume <thread-id>, repeating --skip-git-repo-check outside a git repo). Never leave a delegate run with no recorded way to resume or steer it — a plain-text one-shot that hides its session id strands the work when the run stalls or times out.
  • Before dispatch, grant the executor session every permission the task will need — file write/edit, command/test execution, and the working directory — on the dispatch command itself, not through settings-file guesses: for non-interactive Claude Code pass --permission-mode acceptEdits or an explicit --allowedTools list (--dangerously-skip-permissions only inside an isolated worktree or sandbox), and the equivalent sandbox/approval flags for other CLIs. acceptEdits: true is not a settings key and ~/.claude/settings.local.json is not a file Claude Code reads — user scope is ~/.claude/settings.json and project scope is the dispatch cwd's .claude/settings.local.json with rules under permissions.allow. Prove the grant with a bounded scratch-edit probe run before the real dispatch: a permission denial in a non-interactive run recurs identically on retry, so never redispatch until a changed grant is proven, and surface an ungrantable permission as a blocker before dispatch, not after minutes of silence.

Required inputs:

  • explicit coding-owner choice for this run
  • task or unit description
  • the chosen profile's discovered executor skill set

Expected outputs:

  • a composed executor prompt arranged by the unit's role recipe
  • the handoff mode and dispatchability state named up front
  • a captured session or thread id, or an explicit unsteerable note

Artifact expectations:

  • prepared external handoff record when a wrapper can record it

Safety rules:

  • Never prepare a handoff without an explicit owner choice for this run -- a routing recommendation, a plan mention, or a previous run's owner is not a choice for this run.
  • Prepared, composed, or shown is never dispatch, execution, review, CI, or merge evidence.
  • Never route a Hermes-owned lane through this engine; the Hermes harness stays the default coding path.
  • Never carry a discovered skill's description text into a composed prompt -- only its name and invocation string ever leave discovery; the description stays inside the classifier.
  • Never dispatch without an explicit user dispatch command; the fanout-dispatch bridge -- omh coding fanout dispatch or its omh coding run single-run entry -- is the only executing surface.

Runtime Evidence

Preferred harness for this skill: coding-handling.

sh
omh runtime record --skill maestro --harness coding-handling --status started

Record observed delegation results; otherwise return not_available or not_observed. Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.

  • Treat wrapper memory/context summaries as advisory local context, not proof of opaque Hermes memory reads or changes. Preserve workflow intent and stop conditions; verify before claiming completion. Reply in the user's own words and the host's own voice: its SOUL.md persona owns reply language, tone, speech level, and sentence endings, progress updates included (where it sets no language, use the one the user wrote in), and OMH shapes structure and content only; OMH's record terms (surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in records and tool calls, never in the sentence the user reads unless they ask about one; and when a stop condition or a decision the user owns ends the turn, offer the next action as a question rather than declaring what will not be done.

Use Hermes-native subagent/delegation features when available: native subagents -> Hermes delegation when available, otherwise sequential lanes.

Shared product, compatibility, topology, memory, harness, and execution rules: omh-routing/references/skill-common-rail.md. Load it when applicable; otherwise name an unavailable capability.

© rlaope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/ulw-maestro of rlaope/oh-my-hermes.

  • SKILL.md
  • references/executor-prompt-composition.md

Open the folder on GitHubat commit 7cd0d02

Compare with similar skills

Ulw Maestro next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ulw Maestro compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ulw Maestro this skillrlaope/oh-my-hermes3.2k—~5.1kAutomated safety check: PassMIT
Phone HarnessShawnPana/phone-harness3.2k—~4.3kAutomated safety check: PassMIT
Maa Issue Log AnalysisMaaAssistantArknights/MaaAssistantArknights24k—~4kAutomated safety check: PassAGPL-3.0
Mobile QAtloncorp/tlon-apps107—~2.4kAutomated safety check: PassMIT
Store Listing Screenshotstherxmv/Telegram-Themer119—~2.5kAutomated safety check: PassNone
Maestro ImproveReinaMacCredy/maestro233—~1.9kAutomated safety check: PassMIT

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Categories

Questions about Ulw Maestro

What does Ulw Maestro do?

[omh] Coding owner already chosen, handoff pending: prepares the handoff for the coding agent you already chose, composing its prompt from that agent's own installed skills; never selects the owner…. Ulw Maestro is an agent skill from rlaope/oh-my-hermes. [omh] Coding owner already chosen, handoff pending: prepares the handoff for the coding agent you already chose, composing its prompt from that agent's own installed skills; never selects the owner and never executes the work itself.

When should I use Ulw Maestro?

Ulw Maestro fits situations like: the user says: ulw-maestro; prepare the handoff; prepare a coding handoff; hand off the coding work.

How do I install Ulw Maestro in Claude Code?

Run `npx skills add rlaope/oh-my-hermes --skill ulw-maestro -a claude-code`. Or copy the skill folder (skills/ulw-maestro in rlaope/oh-my-hermes) into .claude/skills/ulw-maestro in your project. Claude Code loads it when a task matches its description.

How do I install Ulw Maestro in Codex?

Run `npx skills add rlaope/oh-my-hermes --skill ulw-maestro -a codex`. Or copy the skill folder (skills/ulw-maestro in rlaope/oh-my-hermes) into .agents/skills/ulw-maestro in your project. Codex loads it when a task matches its description.

Can I use Ulw Maestro in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rlaope/oh-my-hermes --skill ulw-maestro -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ulw-maestro, .gemini/skills/ulw-maestro, .github/skills/ulw-maestro and .opencode/skills/ulw-maestro in your project.

What does Ulw Maestro need to run?

Going by SKILL.md and its folder, Ulw Maestro needs the command-line tools its instructions call (claude and codex).

Does Ulw Maestro access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ulw Maestro safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ulw Maestro use?

Ulw Maestro is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ulw Maestro use?

About 5.1k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Ulw Maestro?

Skills that share tags, products or a category with Ulw Maestro: Phone Harness (ShawnPana/phone-harness, 3.2k stars), Maa Issue Log Analysis (MaaAssistantArknights/MaaAssistantArknights, 24k stars), Mobile QA (tloncorp/tlon-apps, 107 stars) and Store Listing Screenshots (therxmv/Telegram-Themer, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ulw Maestro?

rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,243 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 10, 2026.

Source: rlaope/oh-my-hermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.