Analyze Trajectory
yologdev/yoyo-evolve
Diagnoses a recurring failure such as a stuck task, repeated CI error or frequent reverts by sending sub-agents through the logs and returning one root-cause diagnosis.
The single entry point for the AgentSystem engineering pipeline.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add AgentSystemLabs/core --skill ship -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgentSystemLabs/core ship --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/AgentSystemLabs/core.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/agentsystem-core/skills/ship .claude/skills/ship && 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 "ship" agent skill from https://github.com/AgentSystemLabs/core/tree/main/plugins/agentsystem-core/skills/ship into .claude/skills/ship/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ship", 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/AgentSystemLabs/core/tree/main/plugins/agentsystem-core/skills/shipType 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 AgentSystemLabs/core --skill ship -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgentSystemLabs/core ship --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentSystemLabs/core.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/agentsystem-core/skills/ship .agents/skills/ship && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ship" agent skill from https://github.com/AgentSystemLabs/core/tree/main/plugins/agentsystem-core/skills/ship into .agents/skills/ship/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ship", 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 AgentSystemLabs/core --skill ship -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgentSystemLabs/core ship --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentSystemLabs/core.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/agentsystem-core/skills/ship .cursor/skills/ship && 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 "ship" agent skill from https://github.com/AgentSystemLabs/core/tree/main/plugins/agentsystem-core/skills/ship into .cursor/skills/ship/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ship", 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/AgentSystemLabs/core.git --path plugins/agentsystem-core/skills/ship--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 AgentSystemLabs/core --skill ship -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgentSystemLabs/core ship --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentSystemLabs/core.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/agentsystem-core/skills/ship .gemini/skills/ship && 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 "ship" agent skill from https://github.com/AgentSystemLabs/core/tree/main/plugins/agentsystem-core/skills/ship into .gemini/skills/ship/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ship", 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 AgentSystemLabs/core shipInstalls 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 AgentSystemLabs/core --skill ship -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgentSystemLabs/core.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/agentsystem-core/skills/ship .github/skills/ship && 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 "ship" agent skill from https://github.com/AgentSystemLabs/core/tree/main/plugins/agentsystem-core/skills/ship into .github/skills/ship/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ship", 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 AgentSystemLabs/core --skill ship -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AgentSystemLabs/core ship --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentSystemLabs/core.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/agentsystem-core/skills/ship .opencode/skills/ship && 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 "ship" agent skill from https://github.com/AgentSystemLabs/core/tree/main/plugins/agentsystem-core/skills/ship into .opencode/skills/ship/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ship", 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.
shipThe single entry point for the AgentSystem engineering pipeline.
Ship is an agent skill from AgentSystemLabs/core. The single entry point for the AgentSystem engineering pipeline. Invoke EXPLICITLY only — it must not auto-fire on generic build/fix requests. Classifies the goal as CREATE / EVOLVE / POLISH / REMOVE / FIX / AUDIT, infers a depth mode (mode=fast|balanced|production, with include=/skip= phase overrides forwarded downstream), announces the pipeline, then runs the matching bundled workflow playbook (add-feature / modify-feature / polish-ui / remove-feature / fix-bug / audit), which in turn dispatches the bundled…
Its SKILL.md is about 6.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 91 other files, including reference files (for example `playbooks/add-e2e-test/PLAYBOOK.md`, `playbooks/add-empty-error-states/PLAYBOOK.md` and `playbooks/add-feature/PLAYBOOK.md`).
It sits in Development, covering Debugging and Subagents. It works with Git. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1174de2. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
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.
Ship loads about 6.2k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 222 tokens; SKILL.md has 2,973 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 patterns that need a careful read before installing.
**Why:** Vibe coders bypass safety gates because they don't know what they're skipping. Surfacing the conflict gives tAutomated 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 AgentSystemLabs/core at commit 1174de2, republished under its MIT licence (© AgentSystemLabs). 2,973 words, ~6,233 tokens.
.claude/skills/ship/SKILL.md (or your agent's skills folder). This skill also uses 82 other files; get the full folder from GitHub.User-question protocol: Whenever this skill needs the user to pick between options, confirm an action, or answer a multiple-choice prompt, you MUST call the
AskUserQuestiontool to render a proper interactive picker. Do NOT print numbered options as plain text and wait for the user to type a number — that produces a degraded UX. Free-form questions (open-ended typing) may be asked in prose, but any time you would write "1) … 2) … 3) …", useAskUserQuestioninstead.
The user gave you an engineering goal. Pick the right workflow, pick the right depth, announce both, run the workflow, report. Stop before git.
The tax on a vibe coder is choosing which skill to invoke and how thorough to be. This skill takes that tax off them — without hiding what was decided.
This plugin registers exactly one skill: ship. Every workflow and reviewer named in this file and in every playbook it loads — add-feature, reviewer-code, write-tests, plan-red-team, findings-reconciler, etc. — is a bundled file inside this skill, not a separately registered skill or agent. Do not call the Skill tool for them and do not pass their names as subagent_type — nothing but ship is registered, so both error.
Resolve every bundled reference by reading a file, relative to the ship skill directory (the directory holding THIS file; ${CLAUDE_PLUGIN_ROOT}/skills/ship/ when that env var is set):
playbooks/<name>/PLAYBOOK.md — a workflow or sub-skill. Read it and follow it inline as your next phase of work, carrying the same args (mode=, run-id=, run-ledger=, headless=). Ship-root-relative.subagents/<name>.md — a reviewer / mapper / verifier / tracer. Read it, then dispatch a fresh subagent with the Agent tool using subagent_type: "general-purpose", passing the file's body as the leading instructions followed by the concrete scope (diff, plan, artifact name, file list). These agents are read-only by role — tell them not to edit files. Dispatch several in one message to run them in parallel; that fan-out and their fresh-context isolation are the entire reason they are subagents rather than inline work — preserve both. Ship-root-relative.references/<file> — a checklist or reference doc. Relative to the playbook currently being followed (not ship-root). Read it in place. Exception — shared references: when a playbook cites a file as ship's references/<file> (the shared risk-signals.md and run-ledger.md), resolve it at ship-root references/, not the playbook's own folder — those two are single-source and shared across playbooks.If any instruction still shows an old Skill(skill="X") call or an Agent(subagent_type=agentsystem-core:Y) call, treat it as playbooks/X/PLAYBOOK.md / subagents/Y.md respectively.
At the start of every run, read the plugin version from the plugin manifest — ${CLAUDE_PLUGIN_ROOT}/.claude-plugin/plugin.json if that env var exists, else the .claude-plugin/plugin.json two directories above this skill file — and announce it in the first status line, e.g.:
🚢 /ship (agentsystem-core v0.52.0) — pipeline: …If the manifest can't be found, say "version unknown" rather than failing. The version line tells the user (and any later defect audit) exactly which generation of the gates ran.
Read the user's prompt and map to one of six core skills:
| Phrasing in the prompt | Intent | Routes to |
|---|---|---|
| "add", "build", "implement", "create", "scaffold", "introduce", "set up" in an existing codebase | CREATE | add-feature |
"update", "extend", "change", "also do X when Y", "make this also", "modify", "derive from" — request adds or shifts behavior on an existing feature; also handles small cosmetic/copy tweaks via mode=fast | EVOLVE | modify-feature |
| "polish this", "give this a UX pass", "polish the dashboard", "audit the polish on this page", "run the UX checklist on X" — apply UX checklist to existing UI without changing behavior | POLISH | polish-ui |
| "remove", "delete", "deprecate", "kill", "rip out", "get rid of" | REMOVE | remove-feature |
| "broken", "bug", "not working", "should have happened but didn't", "didn't trigger", "silent failure" | FIX | fix-bug |
| "audit the codebase", "tech-debt sweep", "deep clean", "full cleanup", "production-readiness pass", "find all the rot" | AUDIT | audit |
EVOLVE vs POLISH boundary. EVOLVE is one specific change the user named (whether it's a single-element cosmetic tweak or a behavior extension); POLISH is "apply the checklist" without a specified change. If the user names what to change, it's EVOLVE. If they ask for a pass, it's POLISH. For purely cosmetic single-element changes ("make this button green", "fix the alignment"), route to EVOLVE with mode=fast.
Pre-classification probe (cheap, one search). Verb-mapping alone misleads: "add a settings page" in a repo that already has one is EVOLVE, not CREATE. Before locking a CREATE vs EVOLVE decision, run one quick Glob/Grep for the named artifact — the route path, component name, table, or endpoint. If it already exists → almost always EVOLVE (modify-feature); if it genuinely doesn't → CREATE (add-feature). One probe is far cheaper than a wrong full-pipeline run the user only notices at Step 5. Skip the probe only when the verb is unambiguous ("delete X", "why didn't X fire").
Ambiguous prompts — when two intents are equally plausible (e.g., "rebuild auth" could be EVOLVE or REMOVE+CREATE), ask exactly one disambiguating AskUserQuestion. Don't guess.
Multi-intent prompts — if the user lists clearly separable goals ("add X and remove Y"), execute them sequentially as separate /ship routings, not one combined run. State the order before starting.
Refactor / test-authoring prompts — two common asks sit just outside the six intents but do have a home:
simplify (pass scope=<the named path> so it isn't diff-limited). If the "refactor" actually changes behavior, it's EVOLVE → modify-feature instead.write-tests.
Announce these like any other routing (Detected / Mode / Pipeline), then run the bundled playbook inline — read playbooks/simplify/PLAYBOOK.md or playbooks/write-tests/PLAYBOOK.md per Bundled reference resolution.No-match prompts — if the user's request doesn't fit any intent above (e.g., explain code, document a flow, compare approaches, ask a question about the codebase, brainstorm features, or scaffold a new app from zero), /ship is the wrong tool. Stop and tell the user the request doesn't map to an engineering workflow this skill orchestrates, and — if the match is obvious — point at the matching tool directly (e.g., "review this PR" → /review, "explain this module" → no skill needed, just answer in the conversation).
Three modes — fast, balanced, production. Pick one before announcing.
Risk signals (any one → production) — the canonical list lives in references/risk-signals.md; the mode-safety overrides in add-feature / modify-feature / remove-feature / fix-bug all cite that same file so the signals can't drift apart. In one line: auth / permissions / payments / secrets / external webhooks; schema migrations or persisted-data rewrites; destructive deletion of an external/public contract; background jobs / queues / cron / email / SMS / imports / exports / file writes / IPC / external APIs; caching / query-invalidation / feature flags / analytics / concurrency-sensitive mutations; or a multi-subsystem change (frontend + backend + DB together).
Tiny-scope signals (all four → fast):
Default → balanced.
Override: explicit mode=fast, mode=balanced, or mode=production in the user's prompt always wins — except when it conflicts with a high-risk signal (see NEVER below).
Headless option (headless=true). Also triggered by the word "headless" anywhere in the invocation. Headless removes user interaction, NOT rigor — it skips QUESTIONS, never QUALITY gates:
AskUserQuestion. Every point where this skill would ask (intent disambiguation at Step 1, production "Proceed with this pipeline?" at Step 3, the mode-conflict prompt in NEVER) auto-resolves with best judgement instead. Record each assumption ("Assumed: EVOLVE over CREATE because the route already exists") in the per-run ledger and surface them all in the Step 5 report.headless=true to the routed skill (add-feature / modify-feature / fix-bug / etc.) alongside mode=, so its own question points (plan approval, clarify phase) convert to logged-plan-and-proceed under the same contract.mode=fast collides with a high-risk signal, auto-upgrade to the mode the risk demands and record the decision — don't silently honor the dangerous override, and don't ask.Output a structured plan block before executing. Format:
Detected: <CREATE | EVOLVE | POLISH | REMOVE | FIX | AUDIT>
Risk: <low | medium | high — one-line reason>
Mode: <fast | balanced | production — one-line reason or "user-specified">
Pipeline:
1. <phase> → <core skill or sub-skill>
2. <phase> → <core skill or sub-skill>
...Pipeline numbering must match what the routed core skill will actually run at the chosen mode (e.g., add-feature mode=production does Clarify → Explore → Design → Plan approval → Implement → Verify → Gated reviews → Tests → Post-steps). Do not invent phases the routed skill won't execute — those become a credibility hole at Step 5.
Create the per-run ledger. Read and follow references/run-ledger.md. Generate a unique run ID and write the ledger under the session scratch directory, falling back to .agentsystem/runs/<run-id>.md only when no scratch location exists. Record the goal, intent/mode/risk, base SHA, initial worktree, locked decisions/assumptions, pipeline, and input hash where available.
Update phase/task/reviewer status at every transition. Record file ownership, retries/fallbacks, findings dispositions, exact verification evidence, and terminal state. Never use a fixed .agentsystem/ship-run.md: concurrent sessions would overwrite each other. Step 5 reads this ledger rather than reconstructing the run from memory.
Confirmation gating depends on mode:
| Mode | Gating |
|---|---|
production | Use AskUserQuestion "Proceed with this pipeline?" before Step 4. Decline → stop. |
balanced | Print the plan inline, then proceed to Step 4 in the same turn. User can abort with ESC or a new prompt before the routed skill begins. |
fast | Print the plan inline as a one-line preamble, then execute immediately. No confirm prompt. |
In headless runs the production confirm prompt is skipped like the others: print the plan inline, record "proceeded without confirmation (headless)" in the run ledger, and continue.
Routing is an inline playbook read, per Bundled reference resolution above — not a Skill call (the workflows are bundled files, not registered skills). Take the workflow name for the intent from Step 1 (add-feature for CREATE, modify-feature for EVOLVE, polish-ui for POLISH, remove-feature for REMOVE, fix-bug for FIX, audit for AUDIT), then:
playbooks/<workflow>/PLAYBOOK.md (ship-root-relative).mode=<resolved>headless=true when the run is headless — the playbook converts its own question points to recorded assumptionsrun-id=<id> and run-ledger=<absolute path> — update phase, subagent, reviewer, finding-disposition, and verification records in this ledgerinclude=<csv> / skip=<csv> overrides parsed from the user's promptsubagents/*.md) through the Agent tool per the resolution rule. Those dispatches are where fresh-context isolation and fan-out parallelism live — let them happen; don't collapse them into your own context.The playbook is the engine; /ship is the router. Read it fresh each run rather than reconstructing it from memory — that keeps the engine canonical after every update.
Respect downstream gates. add-feature mode=production has its own Plan-approval gate. Let it fire. Don't bypass it from /ship.
One core skill per /ship run. Don't fan out to multiple core skills in parallel — that's the user's job to compose with multiple /ship invocations, or the routed core skill's job to subagent-fan-out internally.
Adjunct skills live downstream. /ship only chooses the top-level workflow. The routed skill owns stack/plugin-specific handoffs (TanStack, UX, backend, release-risk, etc.) and must announce those adjuncts in its own pipeline when their gates match.
After the routed skill returns, output a visible-pipeline summary. Read the completed-phase, reviewer coverage, findings-disposition, verification, and terminal-state records from the Step 3 per-run ledger rather than reconstructing them from memory. Validate that the ledger's base SHA/input identity still matches this run before trusting it.
✔ <phase 1> — <one-line outcome>
✔ <phase 2> — <one-line outcome>
✔ <phase 3> — <one-line outcome>
...
Findings:
- <each finding the routed skill or its sub-skill audits surfaced>
Terminal state: <diagnosed | locally-verified | partial | blocked>
Evidence: <final commands and runtime observation, or the exact missing/failed gate>
When terminal state is locally-verified, publishing is yours to drive — this plugin stops at code-ready and does not commit, push, or open PRs. Hand the working tree off to your own git workflow.Use exactly one terminal state:
diagnosed — root cause or audit findings are established, but no code candidate was produced (including fix-bug mode=regression when it stops at root cause).locally-verified — the routed skill's final post-mutation gate passed and the changed runtime path was observed locally. This does not claim CI, staging, deploy, or production health.partial — code exists, but a required local command or runtime observation could not be completed. Name the missing evidence.blocked — a required gate failed, a mandatory reviewer was unavailable with no fallback, or a user decision is required before safe continuation.Never print publication handoff commands for diagnosed, partial, or blocked as though the candidate were ready.
Surface findings, not just "done." If a sub-skill audit (security, perf, a11y, duplication) returned issues that the routed skill chose not to auto-fix, name them here so the user sees them before publishing. “Production-ready” is not a valid terminal state: this pipeline proves a local candidate, not CI, deployment, rollback, or production health.
Do not commit. Do not push. The user picks the publish path.
NEVER commit, push, or open PRs from inside this skill Instead: Stop at Step 5 and hand off to the user's own git workflow. Why: Engineering rigor and release decisions run on different cadences. Auto-publishing from an autopilot run removes the user's chance to review the diff and forces a one-size-fits-all release path on every project.
NEVER bypass a routed core skill's own approval gate
Instead: Let the gate fire (e.g., add-feature's Plan-approval gate in production mode). The user interacts with the core skill's gate, not with /ship.
Why: Routing past a gate that the core skill author put there means the user gets a fast-mode experience while believing they're in production mode. Trust collapses on the first surprise side effect.
NEVER replicate the core skill's pipeline inline from memory
Instead: Always read the bundled playbook and follow it. Read playbooks/<workflow>/PLAYBOOK.md and follow that file verbatim — do not improvise the pipeline from your own recall of what add-feature or fix-bug "usually does". /ship is a router; the playbook is the engine.
Why: Inlined pipelines drift from canonical core-skill behavior on every update. Two implementations of the same workflow guarantees one will be wrong after the next change to either. Reading the file each run keeps the engine canonical even when the Skill tool isn't available.
NEVER hide which mode and pipeline you picked
Instead: Announce in every mode. Even fast prints the one-line preamble. production requires an explicit confirm.
Why: "It just worked" is indistinguishable from "it did the wrong thing silently." The product story is "AI engineering workflow," not "ChatGPT writes code." Visibility is the differentiator.
NEVER guess between two plausible intents
Instead: When the prompt is genuinely ambiguous (CREATE vs EVOLVE, EVOLVE vs REMOVE+CREATE), ask exactly one AskUserQuestion. One question, then commit.
Why: A wrong intent cascades through the entire pipeline. The user only notices at Step 5 that the system rebuilt instead of patched, after the work is done. One disambiguation up-front is far cheaper than a wrong full-pipeline run.
NEVER honor a mode=fast override on a high-risk change without surfacing the conflict
Instead: If mode=fast is requested for work that hits a risk signal (auth/payments/migrations/jobs/webhooks/destructive deletes/etc.), pause and surface the conflict via AskUserQuestion: "Detected high-risk signals (e.g., payments). You requested fast mode — that skips the production gates. Confirm fast anyway, or upgrade to production?" Honor whichever the user picks.
Why: Vibe coders bypass safety gates because they don't know what they're skipping. Surfacing the conflict gives them informed consent without removing their authority. Silent honor of a dangerous override breaks the "no surprises" contract.
/ship itself is a router; the adjunct and handoff skills below are owned by the routed core skill (add-feature, modify-feature, fix-bug, remove-feature, audit). This appendix exists so users — and the announced pipeline at Step 3 — can see what the front door will likely invoke downstream when its gates trigger. The routed skill always has final say on whether a gate fires.
Phrasing for Step 3 announcements: when previewing the pipeline, name the most likely downstream sub-skills as (routed: <core>) → may invoke <sub-skill> rather than promising they'll run. The actual fire is gate-driven.
add-feature may invokeplan-red-team before approval for triggered production plans, including explicit scalability, reliability/failure-isolation, capacity, operability, rollback, and cost/complexity checks; findings-reconciler after 2+ reviewers; integration-verifier after all mutations for complex production changes.playbooks/add-empty-error-states/PLAYBOOK.md (empty + error UI), playbooks/polish-ui/PLAYBOOK.md (post-step UX checklist), playbooks/propagate-ui-pattern/PLAYBOOK.md (when 3+ siblings of a recurring surface exist).playbooks/add-migration/PLAYBOOK.md, playbooks/add-observability/PLAYBOOK.md (integration-first lane), playbooks/audit-authz/PLAYBOOK.md (when the feature adds or changes server entry points with ownership/permission checks).playbooks/write-tests/PLAYBOOK.md (unit/integration), playbooks/add-e2e-test/PLAYBOOK.md (browser flows when Playwright is wired).modify-feature may invokeplaybooks/add-empty-error-states/PLAYBOOK.md, playbooks/polish-ui/PLAYBOOK.md.playbooks/add-migration/PLAYBOOK.md, playbooks/add-observability/PLAYBOOK.md, playbooks/audit-authz/PLAYBOOK.md (when the extension touches server entry points with ownership/permission checks).playbooks/write-tests/PLAYBOOK.md, playbooks/add-e2e-test/PLAYBOOK.md when extension warrants browser coverage.polish-ui may invokepolish-ui runs the project's UX polish checklist against the surface and auto-fixes mechanical gaps (kbd hints on hotkey-bound buttons, focus management, loading/disabled states, footer/chrome consistency). It does not fan out — the work is the checklist.
fix-bug may invokeplaybooks/add-migration/PLAYBOOK.md (corrective migration), playbooks/add-observability/PLAYBOOK.md (missing evidence), playbooks/realign/PLAYBOOK.md (domain-model mismatch).playbooks/add-regression-test/PLAYBOOK.md.playbooks/simplify/PLAYBOOK.md (always), playbooks/polish-ui/PLAYBOOK.md (if UI changed, non-copy).remove-feature may invokeplaybooks/add-migration/PLAYBOOK.md (when removal drops columns/tables).audit may invokesimplify, harden-types, and audit-a11y (whole-app a11y). When 2+ reviewers run, findings-reconciler produces the deduplicated disposition ledger. See playbooks/audit/PLAYBOOK.md for exactly which auditors fire at each mode.Course-author note: because these are gate-driven, a given /ship run will invoke only a subset. The Step 5 pipeline summary names exactly which ones did fire — that's the authoritative record, not this appendix.
© AgentSystemLabs, 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 82 other files (references) in plugins/agentsystem-core/skills/ship of AgentSystemLabs/core.
Open the folder on GitHubat commit 1174de2
Ship 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 |
|---|---|---|---|---|---|---|
| Ship this skillAgentSystemLabs/core | 123 | — | ~6.2k | Automated safety check: Warn | MIT | |
| Analyze Trajectoryyologdev/yoyo-evolve | 1.9k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Leon Coding Agentleon-ai/leon | 18k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Cursor Composer Task DelegateChachamaru127/claude-code-harness | 3.2k | — | ~4.4k | Automated safety check: Notes | MIT | |
| Firewood Reviewava-labs/firewood | 153 | — | ~2.1k | Automated safety check: Notes | Custom licence | |
| Tutti Architecture Reviewtutti-os/tutti | 3.8k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 |
yologdev/yoyo-evolve
Diagnoses a recurring failure such as a stuck task, repeated CI error or frequent reverts by sending sub-agents through the logs and returning one root-cause diagnosis.
leon-ai/leon
Has Leon's agent investigate, change and verify code in a repository with its file, search and shell tools, staying inside the scope the owner authorized.
Chachamaru127/claude-code-harness
Hands one implementation task to Cursor Composer in an isolated git worktree, then reviews its diff and cherry-picks the result into the main branch.
ava-labs/firewood
A skill your agent uses when reviewing ava-labs/firewood code changes — pull request or local workspace.
tutti-os/tutti
Review tutti git diffs for project structure, layering, module ownership, and duplicate event-center infrastructure by planning focused architecture review tasks, then having the main agent…
ByteDance-Seed/VeOmni
Pre-PR code review gate. An agent skill from ByteDance-Seed/VeOmni.
AgentSystemLabs/core
Save durable project knowledge to Mission Control's Recall (project memory) so future sessions start already knowing it.
Works with
Categories
The single entry point for the AgentSystem engineering pipeline. Ship is an agent skill from AgentSystemLabs/core. The single entry point for the AgentSystem engineering pipeline.
Ship fits situations like: LY on explicit invocation — use ship skill; tasks that involve Debugging; tasks that involve Subagents.
Run `npx skills add AgentSystemLabs/core --skill ship -a claude-code`. Or copy the skill folder (plugins/agentsystem-core/skills/ship in AgentSystemLabs/core) into .claude/skills/ship in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AgentSystemLabs/core --skill ship -a codex`. Or copy the skill folder (plugins/agentsystem-core/skills/ship in AgentSystemLabs/core) into .agents/skills/ship 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 AgentSystemLabs/core --skill ship -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ship, .gemini/skills/ship, .github/skills/ship and .opencode/skills/ship in your project.
SKILL.md names no scripts, command-line tools or credentials: Ship is instructions for the agent only.
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 flagged 1 warning(s): contains instruction-override wording (e.g. “without asking the user”). Read the flagged lines before installing; the check is not a guarantee either way.
Ship is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 6.2k tokens (SKILL.md is roughly 25k 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 2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ship: Analyze Trajectory (yologdev/yoyo-evolve, 1.9k stars), Leon Coding Agent (leon-ai/leon, 18k stars), Cursor Composer Task Delegate (Chachamaru127/claude-code-harness, 3.2k stars) and Firewood Review (ava-labs/firewood, 153 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AgentSystemLabs (a GitHub organization) maintains it in AgentSystemLabs/core, which has 123 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on July 24, 2026.
Source: AgentSystemLabs/core on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.