Agent skill

Olore Tensorzero Latest

Local TensorZero documentation reference (latest). An agent skill from olorehq/olore.

MITAuto-check passedAI & LLM Engineering

Install Olore Tensorzero Latest

skills CLI

$ npx skills add olorehq/olore --skill olore-tensorzero-latest -a claude-code

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

GitHub CLI

$ gh skill install olorehq/olore olore-tensorzero-latest --agent claude-code

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

Manual copy

$ git clone --depth 1 https://github.com/olorehq/olore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/vault/packages/tensorzero/latest .claude/skills/olore-tensorzero-latest && rm -rf skills-src

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

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

Paste into Claude Code

Install the "olore-tensorzero-latest" agent skill from https://github.com/olorehq/olore/tree/main/vault/packages/tensorzero/latest into .claude/skills/olore-tensorzero-latest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "olore-tensorzero-latest", 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

$skill-installer install https://github.com/olorehq/olore/tree/main/vault/packages/tensorzero/latest

Type 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.

skills CLI

$ npx skills add olorehq/olore --skill olore-tensorzero-latest -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install olorehq/olore olore-tensorzero-latest --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/olorehq/olore.git skills-src && mkdir -p .agents/skills && cp -r skills-src/vault/packages/tensorzero/latest .agents/skills/olore-tensorzero-latest && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "olore-tensorzero-latest" agent skill from https://github.com/olorehq/olore/tree/main/vault/packages/tensorzero/latest into .agents/skills/olore-tensorzero-latest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "olore-tensorzero-latest", 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.

skills CLI

$ npx skills add olorehq/olore --skill olore-tensorzero-latest -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install olorehq/olore olore-tensorzero-latest --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/olorehq/olore.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/vault/packages/tensorzero/latest .cursor/skills/olore-tensorzero-latest && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "olore-tensorzero-latest" agent skill from https://github.com/olorehq/olore/tree/main/vault/packages/tensorzero/latest into .cursor/skills/olore-tensorzero-latest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "olore-tensorzero-latest", 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

$ gemini skills install https://github.com/olorehq/olore.git --path vault/packages/tensorzero/latest

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add olorehq/olore --skill olore-tensorzero-latest -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install olorehq/olore olore-tensorzero-latest --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/olorehq/olore.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/vault/packages/tensorzero/latest .gemini/skills/olore-tensorzero-latest && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "olore-tensorzero-latest" agent skill from https://github.com/olorehq/olore/tree/main/vault/packages/tensorzero/latest into .gemini/skills/olore-tensorzero-latest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "olore-tensorzero-latest", 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.

GitHub CLI

$ gh skill install olorehq/olore olore-tensorzero-latest

Installs 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).

skills CLI

$ npx skills add olorehq/olore --skill olore-tensorzero-latest -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/olorehq/olore.git skills-src && mkdir -p .github/skills && cp -r skills-src/vault/packages/tensorzero/latest .github/skills/olore-tensorzero-latest && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "olore-tensorzero-latest" agent skill from https://github.com/olorehq/olore/tree/main/vault/packages/tensorzero/latest into .github/skills/olore-tensorzero-latest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "olore-tensorzero-latest", 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.

skills CLI

$ npx skills add olorehq/olore --skill olore-tensorzero-latest -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install olorehq/olore olore-tensorzero-latest --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/olorehq/olore.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/vault/packages/tensorzero/latest .opencode/skills/olore-tensorzero-latest && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "olore-tensorzero-latest" agent skill from https://github.com/olorehq/olore/tree/main/vault/packages/tensorzero/latest into .opencode/skills/olore-tensorzero-latest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "olore-tensorzero-latest", 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: olore-tensorzero-latest
GitHub stars: 104
Token cost: ~1.6k tokens
SKILL.md length: 312 words
Files: 91
Skills in repo: 29
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Local TensorZero documentation reference (latest). An agent skill from olorehq/olore.

Works in 3 steps: Use Topic Guide above to identify… → Read TOC.md for complete file listing by… → Read specific files from contents/{path}
LLM gateway configuration
SKILL.md covers Documentation Structure, Topic Guide, When to use and How to find information
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Olore Tensorzero Latest is an agent skill from olorehq/olore. Local TensorZero documentation reference (latest). TensorZero documentation. Use for LLM gateway configuration, inference API, model provider integrations, optimization (fine-tuning, DICL), experimentation, evaluations, deployment, and observability.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 95 other files (for example `TOC.md`).

It sits in AI & LLM Engineering, covering Model routing and gateways, A/B testing and Fine-tuning. It works with OpenAI. The repository describes itself as: Turn library docs into local Agent Skills. The licence is MIT.

When your agent uses it

LLM gateway configuration
Model provider integrations
Optimization (fine-tuning
Experimentation

Example prompts

“/olore-tensorzero-latest”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Use Topic Guide above to identify relevant files
Read TOC.md for complete file listing by directory
Read specific files from contents/{path}

What it can do on your machine

Read from SKILL.md and the folder at commit 430d86c. 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
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
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

Olore Tensorzero Latest loads about 1.6k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 312 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~69
When it runs · the whole SKILL.md, loaded when a task matches: ~1.6k

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 olorehq/olore at commit 430d86c, republished under its MIT licence (© olorehq). 312 words, ~1,608 tokens.

Download SKILL.mdSave it as .claude/skills/olore-tensorzero-latest/SKILL.md (or your agent's skills folder). This skill also uses 90 other files; get the full folder from GitHub.

name: olore-tensorzero-latest
description: Local TensorZero documentation reference (latest). TensorZero documentation. Use for LLM gateway configuration, inference API, model provider integrations, optimization (fine-tuning, DICL), experimentation, evaluations, deployment, and observability.

TensorZero Documentation

TensorZero is an open-source stack for industrial-grade LLM applications that unifies an LLM gateway, observability, optimization, evaluation, and experimentation.

Documentation Structure

contents/
├── gateway/               # LLM gateway API, configuration, and guides (18 files)
├── integrations/
│   └── model-providers/   # Provider integrations: OpenAI, Anthropic, AWS, GCP, etc. (20 files)
├── deployment/            # Deploying gateway, UI, ClickHouse, Postgres, Redis (8 files)
├── operations/            # Auth, rate limits, credentials, metrics, cost tracking (9 files)
├── optimization/          # Fine-tuning (SFT), DICL, GEPA prompt optimization (4 files)
├── evaluations/           # Inference and workflow evaluations (6 files)
├── experimentation/       # A/B tests and experiment namespaces (3 files)
├── observability/         # Querying historical inferences (1 file)
├── index.mdx              # Product overview
├── quickstart.mdx         # Getting started
└── faq.mdx                # FAQ

Topic Guide

Topic	Key Files
Getting started / quickstart	`contents/quickstart.mdx`, `contents/index.mdx`
Gateway configuration reference	`contents/gateway/configuration-reference.mdx`
Inference API (calling LLMs)	`contents/gateway/api-reference/inference.mdx`, `contents/gateway/call-any-llm.mdx`
OpenAI-compatible API	`contents/gateway/api-reference/inference-openai-compatible.mdx`, `contents/gateway/call-the-openai-responses-api.mdx`
Functions and variants	`contents/gateway/configure-functions-and-variants.mdx`
Prompt templates	`contents/gateway/create-a-prompt-template.mdx`
Structured outputs	`contents/gateway/generate-structured-outputs.mdx`
Tool / function calling	`contents/gateway/guides/tool-use.mdx`
Embeddings	`contents/gateway/generate-embeddings.mdx`
Batch inference	`contents/gateway/api-reference/batch-inference.mdx`, `contents/gateway/guides/batch-inference.mdx`
Feedback and metrics	`contents/gateway/api-reference/feedback.mdx`, `contents/gateway/guides/metrics-feedback.mdx`
Retries and fallbacks	`contents/gateway/guides/retries-fallbacks.mdx`
Inference caching	`contents/gateway/guides/inference-caching.mdx`
Episodes (multi-turn)	`contents/gateway/guides/episodes.mdx`
Datasets and datapoints	`contents/gateway/api-reference/datasets-datapoints.mdx`
Data model	`contents/gateway/data-model.mdx`
Model provider integrations (all)	`contents/integrations/model-providers/index.mdx`
OpenAI, Azure, Anthropic, Gemini	`contents/integrations/model-providers/openai.mdx`, `contents/integrations/model-providers/azure.mdx`, `contents/integrations/model-providers/anthropic.mdx`, `contents/integrations/model-providers/google-ai-studio-gemini.mdx`
AWS (Bedrock, SageMaker)	`contents/integrations/model-providers/aws-bedrock.mdx`, `contents/integrations/model-providers/aws-sagemaker.mdx`
GCP Vertex AI	`contents/integrations/model-providers/gcp-vertex-ai-anthropic.mdx`, `contents/integrations/model-providers/gcp-vertex-ai-gemini.mdx`
Self-hosted models (vLLM, TGI, SGLang)	`contents/integrations/model-providers/vllm.mdx`, `contents/integrations/model-providers/tgi.mdx`, `contents/integrations/model-providers/sglang.mdx`
OpenAI-compatible providers	`contents/integrations/model-providers/openai-compatible.mdx`
Deployment (gateway, UI)	`contents/deployment/tensorzero-gateway.mdx`, `contents/deployment/tensorzero-ui.mdx`
Database setup	`contents/deployment/clickhouse.mdx`, `contents/deployment/postgres.mdx`, `contents/deployment/valkey-redis.mdx`
Upgrading	`contents/deployment/upgrade-tensorzero.mdx`
Authentication and credentials	`contents/operations/set-up-auth-for-tensorzero.mdx`, `contents/operations/manage-credentials.mdx`
Rate limits	`contents/operations/enforce-custom-rate-limits.mdx`, `contents/operations/centralize-auth-rate-limits-and-more.mdx`
Cost and usage tracking	`contents/operations/track-usage-and-cost.mdx`
OpenTelemetry / Prometheus	`contents/operations/export-opentelemetry-traces.mdx`, `contents/operations/export-prometheus-metrics.mdx`
Extending TensorZero	`contents/operations/extend-tensorzero.mdx`
Optimization overview	`contents/optimization/index.mdx`
Supervised fine-tuning (SFT)	`contents/optimization/supervised-fine-tuning-sft.mdx`
Dynamic in-context learning (DICL)	`contents/optimization/dynamic-in-context-learning-dicl.mdx`
GEPA prompt optimization	`contents/optimization/gepa.mdx`
Evaluations overview	`contents/evaluations/index.mdx`
Inference evaluations	`contents/evaluations/inference-evaluations/tutorial.mdx`, `contents/evaluations/inference-evaluations/configuration-reference.mdx`
Workflow evaluations	`contents/evaluations/workflow-evaluations/tutorial.mdx`, `contents/evaluations/workflow-evaluations/api-reference.mdx`
A/B testing	`contents/experimentation/run-static-ab-tests.mdx`, `contents/experimentation/run-adaptive-ab-tests.mdx`
Querying historical inferences	`contents/observability/query-historical-inferences.mdx`

When to use

Use this skill when the user asks about:

Configuring the TensorZero LLM gateway (functions, variants, models, providers, prompt templates)
Calling LLMs via the TensorZero inference API or OpenAI-compatible API
Integrating with model providers (OpenAI, Anthropic, AWS, GCP, Azure, Groq, Mistral, vLLM, etc.)
Collecting feedback and metrics from LLM inferences
Deploying TensorZero (gateway, UI, ClickHouse, Postgres, Redis)
Managing authentication, credentials, and rate limits
Running A/B experiments and adaptive tests
Optimizing LLM applications with fine-tuning (SFT), DICL, or GEPA
Running evaluations on inference or workflow outputs
Tracking usage, cost, and exporting telemetry

How to find information

Use Topic Guide above to identify relevant files
Read TOC.md for complete file listing by directory
Read specific files from contents/{path}

Files

SKILL.md and 90 other files in vault/packages/tensorzero/latest of olorehq/olore.

SKILL.md
TOC.md
contents/deployment/clickhouse.mdx
contents/deployment/optimize-latency-and-throughput.mdx
contents/deployment/postgres.mdx
contents/deployment/tensorzero-autopilot.mdx
contents/deployment/tensorzero-gateway.mdx
contents/deployment/tensorzero-ui.mdx
contents/deployment/upgrade-tensorzero.mdx
contents/deployment/valkey-redis.mdx
contents/evaluations/index.mdx
contents/evaluations/inference-evaluations/cli-reference.mdx
contents/evaluations/inference-evaluations/configuration-reference.mdx
contents/evaluations/inference-evaluations/tutorial.mdx
contents/evaluations/workflow-evaluations/api-reference.mdx
contents/evaluations/workflow-evaluations/tutorial.mdx
… and 75 more

Open the folder on GitHubat commit 430d86c

Compare with similar skills

Olore Tensorzero Latest 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.

Olore Tensorzero Latest compared with similar skills
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Shogun Bloom Configyohey-w/multi-agent-shogun	1.4k	—	~3.1k	Automated safety check: Pass	MIT	2 mo ago
Codex Model Routing Teamzjp1997720/codex-model-routing-team	158	—	~736	Automated safety check: Pass	MIT	2 mo ago
Observability Architecturemajiayu000/litellm-rs	117	—	~1.3k	Automated safety check: Pass	MIT	yesterday
Fine-Tuning ExpertJeffallan/claude-skills	12k	—	~1.7k	Automated safety check: Pass	MIT	6 days ago

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Questions about Olore Tensorzero Latest

What does Olore Tensorzero Latest do?

Local TensorZero documentation reference (latest). An agent skill from olorehq/olore. Olore Tensorzero Latest is an agent skill from olorehq/olore. Local TensorZero documentation reference (latest).

When should I use Olore Tensorzero Latest?

Olore Tensorzero Latest fits situations like: LLM gateway configuration; model provider integrations; optimization (fine-tuning; experimentation.

How do I install Olore Tensorzero Latest in Claude Code?

Run `npx skills add olorehq/olore --skill olore-tensorzero-latest -a claude-code`. Or copy the skill folder (vault/packages/tensorzero/latest in olorehq/olore) into .claude/skills/olore-tensorzero-latest in your project. Claude Code loads it when a task matches its description.

How do I install Olore Tensorzero Latest in Codex?

Run `npx skills add olorehq/olore --skill olore-tensorzero-latest -a codex`. Or copy the skill folder (vault/packages/tensorzero/latest in olorehq/olore) into .agents/skills/olore-tensorzero-latest in your project. Codex loads it when a task matches its description.

Can I use Olore Tensorzero Latest 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 olorehq/olore --skill olore-tensorzero-latest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/olore-tensorzero-latest, .gemini/skills/olore-tensorzero-latest, .github/skills/olore-tensorzero-latest and .opencode/skills/olore-tensorzero-latest in your project.

What does Olore Tensorzero Latest need to run?

SKILL.md names no scripts, command-line tools or credentials: Olore Tensorzero Latest is instructions for the agent only.

Does Olore Tensorzero Latest 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 Olore Tensorzero Latest 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 Olore Tensorzero Latest use?

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

How many tokens does Olore Tensorzero Latest use?

About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Olore Tensorzero Latest?

Skills that share tags, products or a category with Olore Tensorzero Latest: LLM Router (curiositech/some_claude_skills, 244 stars), Shogun Bloom Config (yohey-w/multi-agent-shogun, 1.4k stars), Codex Model Routing Team (zjp1997720/codex-model-routing-team, 158 stars) and Observability Architecture (majiayu000/litellm-rs, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Olore Tensorzero Latest?

olorehq (a GitHub organization) maintains it in olorehq/olore, which has 104 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 10, 2026.

Source: olorehq/olore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Olore Tensorzero Latest

Install Olore Tensorzero Latest

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

TensorZero Documentation

Documentation Structure

Topic Guide

When to use

How to find information

Files

Compare with similar skills

Similar skills

LLM Router

Shogun Bloom Config

Codex Model Routing Team

Observability Architecture

Fine-Tuning Expert

Darwinian Evolver

More from olorehq/olore

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Questions about Olore Tensorzero Latest

Install Olore Tensorzero Latest

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

TensorZero Documentation

Documentation Structure

Topic Guide

When to use

How to find information

Files

Compare with similar skills

Similar skills

More from olorehq/olore

Related

Questions about Olore Tensorzero Latest