Tianji Worker Operations
msgbyte/tianji
Operates Tianji Workers: create, test, deploy, invoke, schedule, pause and roll back them, plus manage their environment variables and shared modules.
Build and roll out a Vast.ai Serverless endpoint with measured autoscaling, a canary template, and a zero-downtime worker update.
Install Vastai Core Workflow B
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-b -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-core-workflow-b --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/vastai-core-workflow-b .claude/skills/vastai-core-workflow-b && 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 "vastai-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-b into .claude/skills/vastai-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-b", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-bType 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 jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-b -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-core-workflow-b --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/vastai-core-workflow-b .agents/skills/vastai-core-workflow-b && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vastai-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-b into .agents/skills/vastai-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-b", 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 jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-b -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-core-workflow-b --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/vastai-core-workflow-b .cursor/skills/vastai-core-workflow-b && 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 "vastai-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-b into .cursor/skills/vastai-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-b", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/vastai-core-workflow-b--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 jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-b -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-core-workflow-b --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/vastai-core-workflow-b .gemini/skills/vastai-core-workflow-b && 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 "vastai-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-b into .gemini/skills/vastai-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-b", 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 jeremylongshore/tons-of-skills-marketplace vastai-core-workflow-bInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-b -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/vastai-core-workflow-b .github/skills/vastai-core-workflow-b && 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 "vastai-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-b into .github/skills/vastai-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-b", 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 jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-b -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace vastai-core-workflow-b --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/vastai-core-workflow-b .opencode/skills/vastai-core-workflow-b && 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 "vastai-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/vastai-core-workflow-b into .opencode/skills/vastai-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vastai-core-workflow-b", 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.
Facts
- Skill name
vastai-core-workflow-b- GitHub stars
- 2.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 439 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Build and roll out a Vast.ai Serverless endpoint with measured autoscaling, a canary template, and a zero-downtime worker update.
- Works in 6 steps: Prove the candidate template → Define scaling bounds → Exercise convergence → …
- Production inference capacity
- SKILL.md covers Overview, Prerequisites, Instructions and Authentication, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Vastai Core Workflow B is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build and roll out a Vast.ai Serverless endpoint with measured autoscaling, a canary template, and a zero-downtime worker update. Use when production inference capacity or model bytes change. Trigger with: "deploy Vast.ai Serverless", "tune a Vast.ai worker group", "roll a model without downtime".
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Requires Vast.ai Serverless access, a tested template, a scoped API key, representative load, and endpoint observability.
It sits in Backend & APIs, covering Serverless and Deployment. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Production inference capacity
- Model bytes change
- With: deploy Vast.ai Serverless
- Tune a Vast.ai worker group
Example prompts
- “deploy Vast.ai Serverless”
- “tune a Vast.ai worker group”
- “roll a model without downtime”
- “/vastai-core-workflow-b”
Requirements
- Compatibility (from SKILL.md): Requires Vast.ai Serverless access, a tested template, a scoped API key, representative load, and endpoint observability.
- Pre-approved tools (allowed-tools): Read, Grep, Write, Edit
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepWriteEdit
From allowed-tools in the SKILL.md frontmatter.
Runs code
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.
Network
Links to these hosts (documentation or services it may open):
docs.vast.ai
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.
Compatibility
Requires Vast.ai Serverless access, a tested template, a scoped API key, representative load, and endpoint observability.
From compatibility in the SKILL.md frontmatter.
Context cost
Vastai Core Workflow B loads about 1.1k tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 439 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.
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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 439 words, ~1,088 tokens.
Download SKILL.mdSave it as
.claude/skills/vastai-core-workflow-b/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- vastai-core-workflow-b
- description
- Build and roll out a Vast.ai Serverless endpoint with measured autoscaling, a canary template, and a zero-downtime worker update. Use when production inference capacity or model bytes change. Trigger with: "deploy Vast.ai Serverless", "tune a Vast.ai worker group", "roll a model without downtime".
- allowed-tools
- Read, Grep, Write, Edit
- compatibility
- Requires Vast.ai Serverless access, a tested template, a scoped API key, representative load, and endpoint observability.
- version
- 2.0.0
- argument-hint
- [endpoint-slo-template-and-load-profile]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, vastai, serverless, autoscaling, rollout
Vast.ai Serverless Endpoint Rollout
Overview
Replace ad hoc multi-instance orchestration with the provider Serverless control plane. Prove a template independently, establish worker and queue bounds from load evidence, then let the workergroup perform a graceful rolling update.
Prerequisites
- Latency, error-rate, queue-time, concurrency, and cost objectives
- Immutable model/template candidate and a separate canary endpoint
- Initial, minimum, maximum, cold-worker, and inactivity policy
Instructions
Step 1: Prove the candidate template
Launch the new model or environment on a non-production endpoint and verify load, readiness, response schema, and representative outputs.
Step 2: Define scaling bounds
Set min_load, min_workers, max_workers, cold_workers, inactivity_timeout, target_queue_time, and max_queue_time from explicit SLO and budget assumptions.
Step 3: Exercise convergence
During initial rollout, drive representative load up to roughly twice expected capacity and back down three times so the engine can learn GPU cost/performance.
Step 4: Establish the pre-update baseline
Record endpoint latency, queue time, error rate, active/inactive workers, model identity, and spend before changing production.
Step 5: Trigger the rolling update
Save the new template, update the workergroup reference, and monitor inactive workers updating first while active workers drain in-flight requests.
Step 6: Accept or roll back
Verify every worker is on the candidate and compare SLOs. If it fails, point the workergroup back to the last verified template and observe the reverse rollout.
Authentication
Use a scoped key with the documented misc Serverless permissions and no billing-write authority. Keep model registry credentials in approved environment variables, separate from the Vast.ai key.
Show full SKILL.md (196 more words)Show less
Tool Discipline
Use Read and Grep to inspect manifests, configuration, provider output, and existing tests before proposing a mutation. Use Write or Edit only for the approved plan, implementation, test, or redacted receipt; do not create, update, destroy, or fund Vast.ai resources without explicit operator approval.
Output
- Canary and production template identities
- Scaling policy plus load-test and rollout timeline
- SLO comparison, worker convergence, and rollback decision
Return endpoint/workergroup IDs, old and new template identities, scaling bounds, load profile, SLO delta, and final rollout state.
Examples
A vLLM endpoint validates a new model on a canary, applies bounded queue targets, then updates its workergroup; active requests drain while new requests move to updated workers, with the old template retained for rollback.
Error Handling
| Failure | Response |
|---|---|
| Canary cannot load the model | Do not update production; fix image, model, or environment configuration. |
| Queue time breaches during rollout | Pause acceptance, increase safe capacity within budget, or roll back the template. |
| Workers do not converge | Inspect workergroup logs and configuration; do not claim zero-downtime completion. |
| New output contract regresses | Roll back to the last verified template and preserve comparison evidence. |
Resources
© jeremylongshore, 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/.curated/vastai-core-workflow-b of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Vastai Core Workflow B 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 |
|---|---|---|---|---|---|---|
| Vastai Core Workflow B this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Tianji Worker Operationsmsgbyte/tianji | 3.1k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Deploy Verceljohnku2011/boilerplates-with-ai-skills | 240 | — | ~660 | Automated safety check: Notes | MIT | |
| Vercel Deploymentdavila7/claude-code-templates | 33k | 5 repos | ~534 | Automated safety check: Pass | MIT | |
| Frontmcp Deploymentagentfront/frontmcp | 146 | — | ~9.2k | Automated safety check: Notes | Apache-2.0 | |
| Deployserithemage/serverless-openclaw | 196 | — | ~898 | Automated safety check: Notes | None |
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Questions about Vastai Core Workflow B
What does Vastai Core Workflow B do?
Build and roll out a Vast.ai Serverless endpoint with measured autoscaling, a canary template, and a zero-downtime worker update. Vastai Core Workflow B is an agent skill from jeremylongshore/tons-of-skills-marketplace.ai Serverless endpoint with measured autoscaling, a canary template, and a zero-downtime worker update.
When should I use Vastai Core Workflow B?
Vastai Core Workflow B fits situations like: production inference capacity; model bytes change; with: deploy Vast.ai Serverless; tune a Vast.ai worker group.
How do I install Vastai Core Workflow B in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-b -a claude-code`. Or copy the skill folder (skills/.curated/vastai-core-workflow-b in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/vastai-core-workflow-b in your project. Claude Code loads it when a task matches its description.
How do I install Vastai Core Workflow B in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-b -a codex`. Or copy the skill folder (skills/.curated/vastai-core-workflow-b in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/vastai-core-workflow-b in your project. Codex loads it when a task matches its description.
Can I use Vastai Core Workflow B 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 jeremylongshore/tons-of-skills-marketplace --skill vastai-core-workflow-b -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vastai-core-workflow-b, .gemini/skills/vastai-core-workflow-b, .github/skills/vastai-core-workflow-b and .opencode/skills/vastai-core-workflow-b in your project.
What does Vastai Core Workflow B need to run?
SKILL.md names no scripts, command-line tools or credentials: Vastai Core Workflow B is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit. Compatibility (from SKILL.md): Requires Vast.ai Serverless access, a tested template, a scoped API key, representative load, and endpoint observability..
Does Vastai Core Workflow B access the network?
SKILL.md names 1 domain. As links in the text: docs.vast.ai. This is read from the text; nothing was executed.
Is Vastai Core Workflow B 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 Vastai Core Workflow B use?
Vastai Core Workflow B is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Vastai Core Workflow B use?
About 1.1k tokens (SKILL.md is roughly 4.4k 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 342 tokens, read only when the agent opens those files.
What are the alternatives to Vastai Core Workflow B?
Skills that share tags, products or a category with Vastai Core Workflow B: Tianji Worker Operations (msgbyte/tianji, 3.1k stars), Deploy Vercel (johnku2011/boilerplates-with-ai-skills, 240 stars), Vercel Deployment (davila7/claude-code-templates, 33k stars) and Frontmcp Deployment (agentfront/frontmcp, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vastai Core Workflow B?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.