Asd Ste100
danyuchn/asd-ste100-skill
A skill your agent uses when English text must be parsed without a human to resolve ambiguity — tool descriptions, error messages, inter-agent instructions, system prompts, status reports — and…
Intent-classified router, the front door to OrchestKit and the DEFAULT entry point for any goal-shaped request.
$ npx skills add yonatangross/orchestkit --skill auto -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yonatangross/orchestkit auto --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/skills/auto .claude/skills/auto && rm -rf skills-srcUse ~/.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/
Install the "auto" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/auto into .claude/skills/auto/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/yonatangross/orchestkit/tree/main/src/skills/autoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add yonatangross/orchestkit --skill auto -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yonatangross/orchestkit auto --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/skills/auto .agents/skills/auto && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "auto" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/auto into .agents/skills/auto/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yonatangross/orchestkit --skill auto -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yonatangross/orchestkit auto --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/skills/auto .cursor/skills/auto && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "auto" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/auto into .cursor/skills/auto/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/yonatangross/orchestkit.git --path src/skills/auto--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add yonatangross/orchestkit --skill auto -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yonatangross/orchestkit auto --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/skills/auto .gemini/skills/auto && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "auto" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/auto into .gemini/skills/auto/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install yonatangross/orchestkit autoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add yonatangross/orchestkit --skill auto -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/skills/auto .github/skills/auto && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "auto" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/auto into .github/skills/auto/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yonatangross/orchestkit --skill auto -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yonatangross/orchestkit auto --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/skills/auto .opencode/skills/auto && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "auto" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/auto into .opencode/skills/auto/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
autoIntent-classified router, the front door to OrchestKit and the DEFAULT entry point for any goal-shaped request.
Auto is an agent skill from yonatangross/orchestkit. Intent-classified router, the front door to OrchestKit and the DEFAULT entry point for any goal-shaped request. Classifies a plain-English goal and routes it to the right specialist skill. Routing is never overhead, so use it even when the target skill seems obvious; skip only when already executing inside another skill (no recursion). Triggers on: auto, do this, figure out, just make, I want, help me, fix, build, improve, any goal description.
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/routing-rules.md`, `routing-benchmark.json` and `test-cases.json`). Compatibility notes: Claude Code 2.1.277+.
It sits in Writing & Content, covering Plain language and style rules. The repository describes itself as: The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install ork for stable (v9.x), or ork-alpha for the v10 line, which ships daily. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 0ef71d2. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
AskUserQuestionReadGrepGlobSkillAgentFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Claude Code 2.1.277+.
From compatibility in the SKILL.md frontmatter.
Auto loads about 3.6k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 1,816 words of instructions outside code blocks.
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.
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.
The full file from yonatangross/orchestkit at commit 0ef71d2, republished under its MIT licence (© yonatangross). 1,816 words, ~3,635 tokens.
.claude/skills/auto/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.The front door to OrchestKit. You describe a goal in plain English; the router classifies it and hands off to the right specialist. One entry point, many execution paths.
Why this exists: OrchestKit has 110 skills, but usage telemetry shows users fire only the handful they can name by memory (10 distinct skills across thousands of sessions). The dominant cause of "dead" skills is no front door — not low quality. This router turns "you must know the exact
/ork:<name>" into "describe what you want."
Core principle: routing is a deterministic workflow, not an autonomous agent (Anthropic, Building Effective Agents). Classify → confirm → hand off. The router never does the work itself — it picks who does.
By default, for any goal-shaped request. An unambiguous goal is a 1-step route: auto classifies, confirms in one line, and hands off — no extra hops, so there is no "too obvious for auto".
Use auto for… | Skip only when… |
|---|---|
| Any goal description ("fix X", "get Y to Z") | Already executing inside another skill (no recursion) |
| The right skill isn't obvious | Chaining a known multi-skill workflow you're mid-way through |
| You think you know the skill — auto confirms & short-circuits |
Design note (2026-07-12): this table previously said "Go direct when you already know the skill / the request maps unambiguously to one". That inverted instruction made the front door structurally unreachable — a competent model always believes it knows the target, so the router recorded near-zero invocations across thousands of sessions (the exact dead-skill problem the "Why this exists" note above describes). Routers must be framed as the default path, not an escape hatch for confusion.
| intent | signal words | routes to |
|---|---|---|
| fix | fix, debug, broken, failing, error, crash, regression | fix-issue |
| diagnose | why, why isn't, why does, why can't, investigate | fix-issue (investigation-first) |
| optimize | faster, reduce, latency, bundle, minimize, below N ms | a /goal optimization loop (see Gaps) |
| cover | coverage, untested, get to N% | cover --target N |
| e2e | e2e, in the browser, browser test, playwright | expect (run on the diff); cover when no e2e tests exist yet |
| design | design, architect, how should we, explore, idea | brainstorm |
| build | build, implement, create, add feature, from ticket | implement |
| review | review, PR, MR, pull request, #N | review-pr |
| verify | verify, check, make sure, passes, green | verify |
| improve-skill | improve the skill, optimize the prompt, SKILL.md | the holdout-promotion gate (see Gaps) |
| (fallback) | no confident category | clarify with ONE question |
Full per-category parameter extraction + edge cases: references/routing-rules.md.
Intent picks who does the work. Weight picks how expensive that worker should be. A route is {intent} @ {weight}. Weight never changes the intent and never replaces it. The taxonomy above and the 7 disambiguation rules are untouched by it.
Tiers are the ones already declared in src/agents/*.md frontmatter (haiku 3 · sonnet 23 · opus 6 · inherit 4). No parallel taxonomy.
| weight | tier | the task is… |
|---|---|---|
| Light | haiku | mechanical or IO-bound, single file, deterministic output, trivially revertible |
| Standard | sonnet | the default: bounded judgment, known pattern |
| Heavy | opus | adversarial, security, safety, architecture, cross-cutting, or ambiguous |
Resolution is asymmetric: ANY heavy signal ⇒ Heavy; Light requires ALL light signals; everything else is Standard. Under-powering a security review yields a confident wrong answer nobody catches; over-powering a rename only wastes money.
Weight is per leg, not per route. A PR review can be a Heavy security leg plus a Light lint leg. Full signal table, per-intent defaults, and the honest limits of this lever: references/routing-rules.md.
This is the selector, not the cap.
src/hooks/src/pretool/task/team-size-gate.tsis an ex-post, per-session counter keyed onORK_TEAM_OPUS_MAX(default 8). Its default posture is advisory (outputWarning); withORK_TEAM_SIZE_HARD=1it escalates tooutputDenyand refuses the spawn outright. Either way it reads the model read-only: it can refuse a premium spawn, but it cannot choose a cheaper one for you. Routing is what chooses. The two compose, cap as backstop and routing as selector; never duplicate the cap's counting here.
CLASSIFY -> CONFIRM -> HAND OFF
| | |
intent show the invoke the
+ weight route target skill;
one line + nod follow ITS phasesName the route and the one signal that decided it in a single short line. Example: "'get latency under 200ms' names a metric + a direction, so optimize, not fix."
Apply the disambiguation rules (most specific wins; explicit verb beats inferred intent). The load-bearing one: explicit verb wins — "Fix the slow query" → fix, not optimize. For the full ordered ruleset (all 7, including the truly-ambiguous fallback), references/routing-rules.md is canonical.
Then classify weight in the same pass, naming the signal that decided it: "touches auth and models an attacker → Heavy." Intent first, weight second; a weight call never rewrites the intent you just committed to.
A route: line is a prior, not a verdict. When the prompt context carries one line of the shape route: <class> -> /ork:<skill> (conf 0.xx) or route: <class> -> Agent(<name>) (conf 0.xx), it came from the Jev routing seam (ORK_ROUTE_JEV=steer, off by default, #4233): one typed judgment of the capability class, taken before you read this table. Treat it as the prior for this step, state in one sentence whether you agree and why, and then classify as above. Your reasoning still decides; a confident prior you disagree with is worth a sentence, never a silent override in either direction. The confirm step is unchanged; the hand-off tool follows the target: a /ork: skill goes through the Skill tool, an Agent(...) target through the Agent tool.
Show the chosen route in one line and get a nod before handing off:
Goal: "{original goal}"
Intent: {category}
Weight: {Light|Standard|Heavy} ({tier}), decided by: {signal}
Route: {skill or loop} {extracted args}
[run] · [adjust] · [cancel]For low-risk single-pass routes (verify, review), an inline "routing you to verify — ok?" is enough. Never hand off without a nod.
Premium spend is never silent. Routing down (Light/Standard) needs no approval, because spending less is not a decision the user has to make. Routing up to Heavy is premium spend and gets its own line the user must accept:
⚠️ Heavy route: {N} opus-tier leg(s), triggered by: {heavy signal}
[approve premium] · [run Standard instead] · [cancel]If they decline, run Standard and say plainly which check is weakened. Never upgrade mid-handoff or inside a spawned agent the user did not see.
Invoke the target skill with the extracted parameters and follow that skill's own phases and guardrails — do not override them. The router's job ends at the handoff; the specialist owns execution and its own report.
A hand-off is a Skill-tool invocation, not a recommendation. The failure mode that motivated M170 (#3127): telemetry traced 43 router hand-offs and found ZERO reached an executor skill (implement, cover, fix-issue, review-pr) — the route was named in chat, then the work happened inline in the main loop, so the executors' specialist wiring (implement → backend-system-architect, cover → test-generator) never activated. Therefore:
optimize has no dedicated skill (yet). OrchestKit's metric-driven optimization runs as a /goal loop using the loop recipe library (prd-to-goal → references/recipe-library.md). Route optimize there and say so plainly — don't pretend a experiment skill exists.improve-skill routes to the evolution gate. Self-optimizing a SKILL.md goes through the champion/challenger holdout-promotion gate (assess evals + evolution-engine), not a one-shot edit. It requires a benchmark + holdout set first./skill-a /skill-b <goal> loads all leading skills (up to 5) into context at once; the trailing args belong to the whole stack. So auto brainstorm <goal> pre-loads the specialist alongside the router — useful when the user already knows part of the route. The router still owns classification and handoff; a pre-loaded specialist does not bypass the confirm step.
auto must not route to itself, directly or via a spawned agent.ORK_TEAM_OPUS_MAX. That is the user's budget.team-size-gate denies a spawn, do NOT relabel a Heavy leg as Standard to slip under the cap. Report the denial and let the user decide.model:. It selects skills and agents, and sets the caller's model that the 4 inherit agents adopt. It never overrides a target skill's own agent selection.Routing accuracy is gateable, not vibes. routing-benchmark.json holds 50 labeled goal → category pairs (easy + genuinely ambiguous). Validate after any change to the category table or disambiguation rules:
# isolated classification check via the bare-eval harness
bare-eval # grade router output against routing-benchmark.jsonTarget ≥95% category accuracy; track the fallback rate as a degradation alarm as the skill library grows.
references/routing-rules.md — per-category parameter extraction, edge cases, disambiguationrouting-benchmark.json — 50 labeled goal→category pairs for accuracy validationDone means all of these hold:
/goal loop, and the extracted args — on one line.ORK_TEAM_OPUS_MAX, and never downgrades a Heavy leg to evade a team-size-gate denial.-y); handoff never precedes confirmation.optimize routes to a /goal loop and improve-skill to the evolution gate; neither claims a dedicated skill that does not exist.auto (no recursion).help — static categorized directory (browse, don't route)prd-to-goal — decompose a spec into a /goal line (the optimize route's engine)fix-issue · cover · expect · brainstorm · implement · review-pr · verify: the route targetsassess — champion/challenger holdout gate (the improve-skill route)© yonatangross, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in src/skills/auto of yonatangross/orchestkit.
Open the folder on GitHubat commit 0ef71d2
Auto 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Auto this skillyonatangross/orchestkit | 289 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Asd Ste100danyuchn/asd-ste100-skill | 4k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Simple Issue Descriptionevery-app/open-seo | 23k | 1 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Ponytail AuditDietrichGebert/ponytail | 158k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Technical Writing Standardcursor/plugins | 10k | 10 repos | ~2.4k | Automated safety check: Pass | None | |
| Natural Japanese Business Writingcoji/natural-japanese | 1.9k | — | ~2.1k | Automated safety check: Pass | MIT |
danyuchn/asd-ste100-skill
A skill your agent uses when English text must be parsed without a human to resolve ambiguity — tool descriptions, error messages, inter-agent instructions, system prompts, status reports — and…
every-app/open-seo
Turn a rough bug report, feature request, support note, or pull request into a short, plain-language issue focused on the problem and desired behavior.
DietrichGebert/ponytail
Quality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what to delete, merge or split.
cursor/plugins
Applies four layers of technical-writing rules to docs, RFCs, readmes, PR descriptions and commit messages so a tired engineer follows them on the first read.
coji/natural-japanese
Writes and edits Japanese business documents so they read clearly and naturally, removes AI-sounding phrasing and can score how AI-like a text reads.
realZachi/pg-jev
Install, configure, query and explain pgjev (the jev PostgreSQL extension that filters, ranks and classifies rows with plain-language conditions via TypeSafe's Jev model).
yonatangross/orchestkit
API contract design for REST and GraphQL, covering resource shape, URL and header versioning with deprecation windows, RFC 9457 Problem Details error handling, and OpenAPI specs.
yonatangross/orchestkit
ADR templates in the Nygard format with context, decision, consequences, and alternatives.
yonatangross/orchestkit
Single-pass codebase analysis leveraging a 1M-token context window for comprehensive security scanning, architecture review, and dependency auditing.
yonatangross/orchestkit
Structured review processes, conventional comments, language-specific checklists, and feedback templates.
yonatangross/orchestkit
Creates GitHub pull requests with pre-flight validation, conventional title formatting, and structured summary generation.
yonatangross/orchestkit
Multi-angle codebase exploration spawning 3-5 parallel agents for code structure, data flow, architecture patterns, and health assessment.
Categories
Intent-classified router, the front door to OrchestKit and the DEFAULT entry point for any goal-shaped request. Auto is an agent skill from yonatangross/orchestkit. Intent-classified router, the front door to OrchestKit and the DEFAULT entry point for any goal-shaped request.
Auto fits situations like: any goal description; tasks that involve Plain language and style rules.
Run `npx skills add yonatangross/orchestkit --skill auto -a claude-code`. Or copy the skill folder (src/skills/auto in yonatangross/orchestkit) into .claude/skills/auto in your project. Claude Code loads it when a task matches its description.
Run `npx skills add yonatangross/orchestkit --skill auto -a codex`. Or copy the skill folder (src/skills/auto in yonatangross/orchestkit) into .agents/skills/auto in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yonatangross/orchestkit --skill auto -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto, .gemini/skills/auto, .github/skills/auto and .opencode/skills/auto in your project.
SKILL.md names no scripts, command-line tools or credentials: Auto is instructions for the agent only. Its frontmatter pre-approves these tools: AskUserQuestion, Read, Grep, Glob, Skill, Agent. Compatibility (from SKILL.md): Claude Code 2.1.277+..
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.
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.
Auto is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 15k 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 3.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Auto: Asd Ste100 (danyuchn/asd-ste100-skill, 4k stars), Simple Issue Description (every-app/open-seo, 23k stars), Ponytail Audit (DietrichGebert/ponytail, 158k stars) and Technical Writing Standard (cursor/plugins, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
yonatangross (a GitHub user) maintains it in yonatangross/orchestkit, which has 289 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on October 7, 2026.
Source: yonatangross/orchestkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.