Agent skill

Cohere Reference Architecture

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Design a governed Cohere architecture for Chat, RAG, tools, streaming, evaluation, and provider operations.

MITAuto-check passedAI & LLM Engineering

Install Cohere Reference Architecture

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill cohere-reference-architecture -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace cohere-reference-architecture --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/cohere-reference-architecture .claude/skills/cohere-reference-architecture && 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/

Facts

Skill name
cohere-reference-architecture
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
443 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Design a governed Cohere architecture for Chat, RAG, tools, streaming, evaluation, and provider operations.

  • Works in 6 steps: Capture users, tenants, data classes,… → Draw trust boundaries for clients, API,… → Define request, result, citation, tool,… → …
  • Reviewing a Cohere system
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
  • Needs CO_API_KEY

What it does

Cohere Reference Architecture is an agent skill from jeremylongshore/tons-of-skills-marketplace. Design a governed Cohere architecture for Chat, RAG, tools, streaming, evaluation, and provider operations. Use when planning or reviewing a Cohere system. Trigger with "Cohere architecture", "Cohere RAG design", or "Cohere service layout".

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: Designed for Claude Code; live verification requires network access and an approved Cohere API key

It sits in AI & LLM Engineering, covering Retrieval-augmented generation. 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

  • Reviewing a Cohere system
  • With Cohere architecture
  • Cohere RAG design
  • Cohere service layout

Example prompts

  • “Cohere architecture”
  • “Cohere RAG design”
  • “Cohere service layout”
  • “/cohere-reference-architecture”

Requirements

  • A credential in CO_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code; live verification requires network access and an approved Cohere API key
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit

Workflow steps

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

  1. Capture users, tenants, data classes, quality objectives, latency targets, side effects, and failure tolerance.
  2. Draw trust boundaries for clients, API, policy, retrieval, vector store, Cohere, tools, logs, and secret stores.
  3. Define request, result, citation, tool, error, and telemetry contracts at each boundary.
  4. Choose synchronous, streaming, queued, or degraded paths with bounded retries and cancellation.
  5. Attach offline evaluation, protected live probes, canarying, observability, budget, and incident controls.
  6. Review threats, data terms, capacity, model lifecycle, rollback, and named ownership before implementation.

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:

    • Read
    • Glob
    • Grep
    • WebFetch
    • Write
    • Edit

    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.cohere.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • CO_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code; live verification requires network access and an approved Cohere API key

    From compatibility in the SKILL.md frontmatter.

Context cost

Cohere Reference Architecture loads about 1.1k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 443 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

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). 443 words, ~1,125 tokens.

Download SKILL.mdSave it as .claude/skills/cohere-reference-architecture/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
cohere-reference-architecture
description
Design a governed Cohere architecture for Chat, RAG, tools, streaming, evaluation, and provider operations. Use when planning or reviewing a Cohere system. Trigger with "Cohere architecture", "Cohere RAG design", or "Cohere service layout".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; live verification requires network access and an approved Cohere API key
argument-hint
[system-name] [single-tenant|multi-tenant]
version
1.6.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, cohere, architecture
model
inherit
effort
high

Cohere Reference Architecture

Overview

Define clear boundaries between clients, policy, retrieval, provider access, tools, evaluation, and operations so model behavior cannot bypass application controls.

Prerequisites

  • The target repository, runtime, environment, and accountable owner
  • An approved Cohere team and key for any live verification
  • Current quality, security, privacy, capacity, and change-control requirements

Tool Discipline

Use Read, Glob, and Grep to inspect code, configuration, and evidence. Use WebFetch only for current Cohere primary documentation. Use Write or Edit only when the user requested implementation and the exact target files are known; never write credentials or customer content.

Current Contract

  • Keep a typed Cohere provider adapter behind an application service boundary.
  • Apply tenant authorization and metadata filters before retrieval, then preserve document IDs through Rerank and citations.
  • Dispatch tools through a policy-enforcing registry with schemas, approvals, timeouts, and audit evidence.
  • Resolve model, lifecycle, capacity, and platform IDs through environment configuration and current provider sources.

Authentication

Use an environment-specific key injected from an approved secret manager. Never print, persist, commit, or place CO_API_KEY in an example. Confirm access with the least costly bounded operation appropriate to the task, and treat key creation, rotation, revocation, role changes, and production-capacity requests as owner-approved actions.

Instructions

  1. Capture users, tenants, data classes, quality objectives, latency targets, side effects, and failure tolerance.
  2. Draw trust boundaries for clients, API, policy, retrieval, vector store, Cohere, tools, logs, and secret stores.
  3. Define request, result, citation, tool, error, and telemetry contracts at each boundary.
  4. Choose synchronous, streaming, queued, or degraded paths with bounded retries and cancellation.
  5. Attach offline evaluation, protected live probes, canarying, observability, budget, and incident controls.
  6. Review threats, data terms, capacity, model lifecycle, rollback, and named ownership before implementation.
Show full SKILL.md (159 more words)Show less

Approval Boundaries

Do not expose or rotate keys, change Cohere Team roles, accept commercial terms, enable sensitive production data, increase spend or capacity, switch production models, send a support bundle, or execute model-proposed side effects without the accountable owner's approval. Keep diagnosis read-only unless implementation was requested.

Output

Return the resolved API and model contract, files or settings inspected, evidence collected, validation result, remaining risk, owner, and rollback or next action. Redact keys, authorization headers, prompts, retrieved documents, embeddings, customer identifiers, and unrestricted environment output.

Error Handling

ConditionResponse
Provider calls in UIMove them behind the trusted server boundary.
Tenant filter after retrievalMove authorization before any candidate can cross the boundary.
Tool reflectionReplace it with an explicit validated registry.
Implicit fallbackRequire configured, evaluated, and approved model routes.

Examples

Use this compact handoff shape to keep the selected scope, validation evidence, and operational result reviewable.

Input:

text
system=enterprise-search; tenants=multi; features=rag,tools,streaming

Expected handoff:

text
boundaries=defined; contracts=versioned; controls=owned; rollback=designed

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/cohere-reference-architecture of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Cohere Reference Architecture 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.

Cohere Reference Architecture compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cohere Reference Architecture this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs13k7 repos~2.3kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2603 repos~1.4kAutomated safety check: PassCustom licence
MCP Local RAGshinpr/mcp-local-rag412—~4.4kAutomated safety check: PassMIT
Ms Agent Framework RAGshuyu-labs/WebCode278—~1.1kAutomated safety check: PassCustom licence
Local RAG Searchnkapila6/mcp-local-rag1341 repos~1.6kAutomated safety check: PassMIT

Similar skills

  • Chroma Vector Database

    Orchestra-Research/AI-Research-SKILLs

    Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.

    13k GitHub starsUsed in 7 repos~2.3k tokens
    AI & LLM EngineeringAuto-check passed
  • Senior Prompt Engineer

    maslennikov-ig/claude-code-orchestrator-kit

    Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.

    260 GitHub starsUsed in 3 repos~1.4k tokens
    AI & LLM EngineeringAuto-check passed
  • MCP Local RAG

    shinpr/mcp-local-rag

    Searches, saves, and maintains a local document index through a local RAG MCP server.

    412 GitHub stars~4.4k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Ms Agent Framework RAG

    shuyu-labs/WebCode

    Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C.

    278 GitHub stars~1.1k tokensUpdated 3 mo ago
    AI & LLM EngineeringAuto-check passed
  • Local RAG Search

    nkapila6/mcp-local-rag

    Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking.

    134 GitHub starsUsed in 1 repo~1.6k tokens
    AI & LLM EngineeringAuto-check passed
  • Blockify Integration

    iternal-technologies-partners/blockify-agentic-data-optimization

    Process documents with Blockify API to create optimized IdeaBlocks for RAG.

    315 GitHub stars~6.2k tokensUpdated 5 mo ago
    AI & LLM EngineeringAuto-check: notes

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo
  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes
  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed
  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Questions about Cohere Reference Architecture

What does Cohere Reference Architecture do?

Design a governed Cohere architecture for Chat, RAG, tools, streaming, evaluation, and provider operations. Cohere Reference Architecture is an agent skill from jeremylongshore/tons-of-skills-marketplace. Design a governed Cohere architecture for Chat, RAG, tools, streaming, evaluation, and provider operations.

When should I use Cohere Reference Architecture?

Cohere Reference Architecture fits situations like: reviewing a Cohere system; with Cohere architecture; cohere RAG design; cohere service layout.

How do I install Cohere Reference Architecture in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill cohere-reference-architecture -a claude-code`. Or copy the skill folder (skills/.curated/cohere-reference-architecture in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/cohere-reference-architecture in your project. Claude Code loads it when a task matches its description.

How do I install Cohere Reference Architecture in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill cohere-reference-architecture -a codex`. Or copy the skill folder (skills/.curated/cohere-reference-architecture in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/cohere-reference-architecture in your project. Codex loads it when a task matches its description.

Can I use Cohere Reference Architecture 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 cohere-reference-architecture -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cohere-reference-architecture, .gemini/skills/cohere-reference-architecture, .github/skills/cohere-reference-architecture and .opencode/skills/cohere-reference-architecture in your project.

What does Cohere Reference Architecture need to run?

Going by SKILL.md and its folder, Cohere Reference Architecture needs credentials named CO_API_KEY. Our summary lists: A credential in CO_API_KEY. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live verification requires network access and an approved Cohere API key.

Does Cohere Reference Architecture access the network?

SKILL.md names 1 domain. As links in the text: docs.cohere.com. This is read from the text; nothing was executed.

Is Cohere Reference Architecture 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 Cohere Reference Architecture use?

Cohere Reference Architecture 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 Cohere Reference Architecture use?

About 1.1k tokens (SKILL.md is roughly 4.5k 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 820 tokens, read only when the agent opens those files.

What are the alternatives to Cohere Reference Architecture?

Skills that share tags, products or a category with Cohere Reference Architecture: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), MCP Local RAG (shinpr/mcp-local-rag, 412 stars) and Ms Agent Framework RAG (shuyu-labs/WebCode, 278 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cohere Reference Architecture?

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.