Routerbase Model Routing
aiskillstore/marketplace
Choose RouterBase model IDs and routing strategies for chat, image, video, audio, and embeddings workloads.
A skill your agent uses for giskard.agents async chat workflows, tools, prompt templates, structured outputs, retries, rate limiting, embeddings, and optional LiteLLM backend.
Install Agents Workflows
$ npx skills add VectorSpaceLab/AREX-Skill --skill agents-workflows -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill agents-workflows --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows .claude/skills/agents-workflows && 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 "agents-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows into .claude/skills/agents-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-workflows", 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/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflowsType 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 VectorSpaceLab/AREX-Skill --skill agents-workflows -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill agents-workflows --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows .agents/skills/agents-workflows && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agents-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows into .agents/skills/agents-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-workflows", 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 VectorSpaceLab/AREX-Skill --skill agents-workflows -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill agents-workflows --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows .cursor/skills/agents-workflows && 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 "agents-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows into .cursor/skills/agents-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-workflows", 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/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows--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 VectorSpaceLab/AREX-Skill --skill agents-workflows -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill agents-workflows --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows .gemini/skills/agents-workflows && 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 "agents-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows into .gemini/skills/agents-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-workflows", 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 VectorSpaceLab/AREX-Skill agents-workflowsInstalls 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 VectorSpaceLab/AREX-Skill --skill agents-workflows -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows .github/skills/agents-workflows && 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 "agents-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows into .github/skills/agents-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-workflows", 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 VectorSpaceLab/AREX-Skill --skill agents-workflows -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill agents-workflows --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows .opencode/skills/agents-workflows && 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 "agents-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows into .opencode/skills/agents-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-workflows", 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
agents-workflows- GitHub stars
- 328
- Token cost
- ~500 tokens
- SKILL.md length
- 176 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 157
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses for giskard.agents async chat workflows, tools, prompt templates, structured outputs, retries, rate limiting, embeddings, and optional LiteLLM backend.
- Giskard.agents async chat workflows
- SKILL.md covers Route first, Read these references and Safe local check
- Runs Python scripts from its folder; calls python
- Prompt templates
What it does
Agents Workflows is an agent skill from VectorSpaceLab/AREX-Skill. Use for giskard.agents async chat workflows, tools, prompt templates, structured outputs, retries, rate limiting, embeddings, and optional LiteLLM backend.
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api-reference.md`, `references/troubleshooting.md` and `references/workflows.md`).
It sits in AI & LLM Engineering, covering Embeddings, Structured output and tool calling and Model routing and gateways. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is Apache-2.0.
When your agent uses it
- Giskard.agents async chat workflows
- Prompt templates
- Structured outputs
- Optional LiteLLM backend
Example prompts
- “/agents-workflows”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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
Agents Workflows loads about 500 tokens when it runs, and up to ~9.8k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 176 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); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its Apache-2.0 licence (© VectorSpaceLab). 176 words, ~500 tokens.
Download SKILL.mdSave it as
.claude/skills/agents-workflows/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- agents-workflows
- description
- Use for giskard.agents async chat workflows, tools, prompt templates, structured outputs, retries, rate limiting, embeddings, and optional LiteLLM backend.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- Apache 2.0
agents-workflows
Use this sub-skill when the task is to build or debug async giskard.agents
chat workflows, generator orchestration, tools, prompt templates, structured
outputs, retries/rate limiting, embedding wrappers, or the optional LiteLLM
backend.
Route first
- For provider aliases, SDK installation, credentials, API-key environment
variables, and direct
giskard.llmcompletion/embedding calls, route to llm-providers. - For
Scenario,Suite, deterministic checks, LLM judges, eval reports, and JUnit export, route to checks-evals. - Keep provider calls inside
BaseGeneratorsubclasses. Workflows, tools, and prompt templates should stay provider-agnostic and operate on Giskard message, tool, and response objects.
Read these references
- API reference for verified public classes, constructors, methods, and ownership boundaries.
- Workflows for async chat, multi-message prompts, templates, tools, structured output, middleware, LiteLLM, and embeddings.
- Troubleshooting for missing LiteLLM, provider setup boundaries, tool schema/coercion, template namespaces, workflow errors, structured-output retries, and rate limiter behavior.
Safe local check
Run the bundled no-provider smoke script when validating that an installed package exposes the core agents/tool workflow surface:
python sub-skills/agents-workflows/scripts/run_agents_smoke.pyThe script uses a deterministic local BaseGenerator and @tool; it does not
make provider, network, credential, or repository-checkout calls.
© VectorSpaceLab, Apache-2.0. 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 4 other files (scripts, references) in skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/api-reference.md
- references/troubleshooting.md
- references/workflows.md
- scripts/run_agents_smoke.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Agents Workflows 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 |
|---|---|---|---|---|---|---|
| Agents Workflows this skillVectorSpaceLab/AREX-Skill | 328 | — | ~500 | Automated safety check: Pass | Apache-2.0 | |
| Routerbase Model Routingaiskillstore/marketplace | 430 | — | ~964 | Automated safety check: Pass | None | |
| Sap AI Coresecondsky/sap-skills | 462 | — | ~3.3k | Automated safety check: Pass | GPL-3.0 | |
| Spring AI Integrationrrezartprebreza/spring-boot-skills | 298 | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Spring AI Integrationrrezartprebreza/spring-boot-skills | 298 | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Openai APImajiayu000/claude-skill-registry | 666 | 1 repos | ~7.6k | Automated safety check: Notes | MIT |
Similar skills
Sap AI Core
secondsky/sap-skills
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP.
Spring AI Integration
rrezartprebreza/spring-boot-skills
A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot.
Spring AI Integration
rrezartprebreza/spring-boot-skills
A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot.
Openai API
majiayu000/claude-skill-registry
A skill your agent uses when implementing GPT chat, streaming, function calling, embeddings for RAG, images, audio or batch jobs, or troubleshooting 429 rate limits and API or TypeScript errors.
Prompt Engineering Patterns
wshobson/agents
Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.
More from VectorSpaceLab/AREX-Skill
All 157 skills in this repoAgent Lightning
VectorSpaceLab/AREX-Skill
Use this repo skill for Agent Lightning package tasks: authoring trainable agents, tracing rewards and spans, running LightningStore/Trainer loops, using agl CLI services, choosing examples, and…
Agent Tools
VectorSpaceLab/AREX-Skill
A skill your agent uses when configuring LiteLLM for MCP tools, A2A agents, Claude Code/Cursor agent gateway traffic, MCP auth/OAuth, tool permissions, semantic filtering, or agent-specific proxy…
Agents And Awel
VectorSpaceLab/AREX-Skill
Build and debug DB-GPT agents, tools, skills, teams, and AWEL workflows, including deterministic local DAG runs and HTTP-trigger topology without assuming an LLM, credential, or external service.
Agents And Middleware
VectorSpaceLab/AREX-Skill
Work on the actively maintained LangChain v1 agent package: initchatmodel, createagent, structured output, tools, middleware, embeddings initialization, provider routing, and agent runtime…
Alphafold3
VectorSpaceLab/AREX-Skill
A skill your agent uses for AlphaFold 3 input preparation, prediction command planning, output interpretation, and Python API inspection.
App Callback Workflows
VectorSpaceLab/AREX-Skill
A skill your agent uses for Plotly Dash app layouts, callbacks, pages, assets, configuration, clientside callbacks, Jupyter display, CSP, and app-level debugging.
Related
Categories
Questions about Agents Workflows
What does Agents Workflows do?
A skill your agent uses for giskard.agents async chat workflows, tools, prompt templates, structured outputs, retries, rate limiting, embeddings, and optional LiteLLM backend. Agents Workflows is an agent skill from VectorSpaceLab/AREX-Skill.agents async chat workflows, tools, prompt templates, structured outputs, retries, rate limiting, embeddings, and optional LiteLLM backend.
When should I use Agents Workflows?
Agents Workflows fits situations like: giskard.agents async chat workflows; prompt templates; structured outputs; optional LiteLLM backend.
How do I install Agents Workflows in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill agents-workflows -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows in VectorSpaceLab/AREX-Skill) into .claude/skills/agents-workflows in your project. Claude Code loads it when a task matches its description.
How do I install Agents Workflows in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill agents-workflows -a codex`. Or copy the skill folder (skills/repositories/repo-skills/giskard-oss/sub-skills/agents-workflows in VectorSpaceLab/AREX-Skill) into .agents/skills/agents-workflows in your project. Codex loads it when a task matches its description.
Can I use Agents Workflows 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 VectorSpaceLab/AREX-Skill --skill agents-workflows -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agents-workflows, .gemini/skills/agents-workflows, .github/skills/agents-workflows and .opencode/skills/agents-workflows in your project.
What does Agents Workflows need to run?
Going by SKILL.md and its folder, Agents Workflows needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Agents Workflows 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 Agents Workflows 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Agents Workflows use?
Agents Workflows is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agents Workflows use?
About 500 tokens (SKILL.md is roughly 2k 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 9.3k tokens, read only when the agent opens those files.
What are the alternatives to Agents Workflows?
Skills that share tags, products or a category with Agents Workflows: Routerbase Model Routing (aiskillstore/marketplace, 430 stars), Sap AI Core (secondsky/sap-skills, 462 stars), Spring AI Integration (rrezartprebreza/spring-boot-skills, 298 stars) and Spring AI Integration (rrezartprebreza/spring-boot-skills, 298 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agents Workflows?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 157 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.