Apiker
hodgef/apiker
Develop, review, and extend the Apiker library — a framework for building serverless REST APIs on Cloudflare Workers + Durable Objects.
Analyze and control Together AI serverless concurrency from dynamic per-model request/token headers, bounded queues, jittered retries, and batch or dedicated alternatives.
Install Together Rate Limits
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-rate-limits -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-rate-limits --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/together-rate-limits .claude/skills/together-rate-limits && 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 "together-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-rate-limits into .claude/skills/together-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-rate-limits", 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/together-rate-limitsType 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 together-rate-limits -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-rate-limits --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/together-rate-limits .agents/skills/together-rate-limits && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "together-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-rate-limits into .agents/skills/together-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-rate-limits", 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 together-rate-limits -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-rate-limits --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/together-rate-limits .cursor/skills/together-rate-limits && 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 "together-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-rate-limits into .cursor/skills/together-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-rate-limits", 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/together-rate-limits--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 together-rate-limits -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace together-rate-limits --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/together-rate-limits .gemini/skills/together-rate-limits && 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 "together-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-rate-limits into .gemini/skills/together-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-rate-limits", 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 together-rate-limitsInstalls 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 together-rate-limits -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/together-rate-limits .github/skills/together-rate-limits && 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 "together-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-rate-limits into .github/skills/together-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-rate-limits", 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 together-rate-limits -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 together-rate-limits --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/together-rate-limits .opencode/skills/together-rate-limits && 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 "together-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/together-rate-limits into .opencode/skills/together-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "together-rate-limits", 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
together-rate-limits- GitHub stars
- 2.8k
- Token cost
- ~986 tokens
- SKILL.md length
- 377 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze and control Together AI serverless concurrency from dynamic per-model request/token headers, bounded queues, jittered retries, and batch or dedicated alternatives.
- Works in 6 steps: Inventory callers, models, concurrency,… → Capture the current x-ratelimit-* and… → Build independent request and token… → …
- Preventing throttling
- SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Together Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and control Together AI serverless concurrency from dynamic per-model request/token headers, bounded queues, jittered retries, and batch or dedicated alternatives. Use when preventing throttling or sizing inference traffic. Trigger with "Together rate limit", "Together 429", or "Together concurrency control".
Its SKILL.md is about 990 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; measurement requires authorized Together AI serverless responses
It sits in Backend & APIs, covering Rate limiting and Serverless. It works with Together AI. 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
- Preventing throttling
- Sizing inference traffic
- With Together rate limit
- Together concurrency control
Example prompts
- “Together rate limit”
- “Together 429”
- “Together concurrency control”
- “/together-rate-limits”
Requirements
- Compatibility (from SKILL.md): Designed for Claude Code; measurement requires authorized Together AI serverless responses
- Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Inventory callers, models, concurrency, token sizes, queue depth, and existing retries.
- Capture the current x-ratelimit-* and x-tokenlimit-* fields from redacted responses.
- Build independent request and token budgets keyed by model and organization context.
- Admit work through a bounded queue; reserve headroom for retries and interactive traffic.
- On 429, honor reset evidence, apply jitter, and stop at the request deadline.
- Load-test below approval bounds, then choose serverless, batch, or dedicated capacity from measured demand.
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:
ReadGlobGrepWebFetchWriteEdit
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.together.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
Designed for Claude Code; measurement requires authorized Together AI serverless responses
From compatibility in the SKILL.md frontmatter.
Context cost
Together Rate Limits loads about 986 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 377 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). 377 words, ~986 tokens.
Download SKILL.mdSave it as
.claude/skills/together-rate-limits/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- together-rate-limits
- description
- Analyze and control Together AI serverless concurrency from dynamic per-model request/token headers, bounded queues, jittered retries, and batch or dedicated alternatives. Use when preventing throttling or sizing inference traffic. Trigger with "Together rate limit", "Together 429", or "Together concurrency control".
- allowed-tools
- Read, Glob, Grep, WebFetch, Write, Edit
- compatibility
- Designed for Claude Code; measurement requires authorized Together AI serverless responses
- argument-hint
- [repository-path] [model-id] [traffic-profile]
- version
- 1.9.0
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- tags
- saas, together-ai, rate-limits
- model
- inherit
- effort
- high
Together AI Dynamic Rate Limits
Overview
This skill replaces fixed quota tables with adaptive control driven by Together's current response headers and observed workload demand.
Prerequisites
- The exact model IDs and traffic profile by request and token volume
- Access to response headers from the HTTP or SDK transport
- Queue-latency, retry, spend, and failure budgets
- A decision owner for batch, provisioned, or dedicated capacity
Tool Discipline
Use Read, Glob, and Grep to locate concurrency, queue, retry, and telemetry code. Use WebFetch for the current dynamic-limit header contract. Use Write or Edit only after the target limiter and tests are identified.
Current Contract
- Serverless limits are dynamic per organization and model; historical account tiers are retired.
- Read request and token limit/remaining/reset headers on every response and maintain state per model.
- Treat displayed RPM as a per-second enforcement budget when Together documents that conversion.
- Use batch for delay-tolerant bursts and dedicated capacity for predictable reserved throughput.
Authentication
Limit headers arrive on authenticated serverless inference responses using the project-scoped Bearer key. Record numeric headers and model alias only; never retain the credential or sensitive body.
Instructions
- Inventory callers, models, concurrency, token sizes, queue depth, and existing retries.
- Capture the current
x-ratelimit-*andx-tokenlimit-*fields from redacted responses. - Build independent request and token budgets keyed by model and organization context.
- Admit work through a bounded queue; reserve headroom for retries and interactive traffic.
- On
429, honor reset evidence, apply jitter, and stop at the request deadline. - Load-test below approval bounds, then choose serverless, batch, or dedicated capacity from measured demand.
Show full SKILL.md (116 more words)Show less
Approval Boundaries
Do not manufacture fixed limits, increase retry concurrency after throttling, or move to paid reserved hardware without explicit cost and capacity approval.
Output
Return observed headers, per-model limiter settings, queue/retry budgets, load-test evidence, dropped/deferred work, and capacity recommendation.
Error Handling
| Condition | Response |
|---|---|
| Limit headers missing | Fall back conservatively and surface transport visibility as a blocker. |
429 persists | Reduce concurrency; do not multiply retries. |
| Queue deadline exceeded | Fail or defer according to workload policy. |
| Bursts dominate | Evaluate Batch API rather than chasing serverless limits. |
Examples
The example below shows the minimum redacted evidence expected from a successful invocation of this operator workflow.
model=catalog-id; limits=header-derived; queue=bounded; retry=jittered; overflow=batch-candidateResources
© 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/together-rate-limits of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Together Rate Limits 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 |
|---|---|---|---|---|---|---|
| Together Rate Limits this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~986 | Automated safety check: Pass | MIT | |
| Apikerhodgef/apiker | 127 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Write API Routeryokun6/ryos | 1.3k | — | ~2.1k | Automated safety check: Pass | AGPL-3.0 | |
| Neon Functionsneondatabase/agent-skills | 100 | — | ~12k | Automated safety check: Notes | Apache-2.0 | |
| Amazon Elasticacheaws/agent-toolkit-for-aws | 2.8k | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Upstash Ratelimitsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.7k | Automated safety check: Pass | MIT |
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Questions about Together Rate Limits
What does Together Rate Limits do?
Analyze and control Together AI serverless concurrency from dynamic per-model request/token headers, bounded queues, jittered retries, and batch or dedicated alternatives. Together Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and control Together AI serverless concurrency from dynamic per-model request/token headers, bounded queues, jittered retries, and batch or dedicated alternatives.
When should I use Together Rate Limits?
Together Rate Limits fits situations like: preventing throttling; sizing inference traffic; with Together rate limit; together concurrency control.
How do I install Together Rate Limits in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-rate-limits -a claude-code`. Or copy the skill folder (skills/.curated/together-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/together-rate-limits in your project. Claude Code loads it when a task matches its description.
How do I install Together Rate Limits in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-rate-limits -a codex`. Or copy the skill folder (skills/.curated/together-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/together-rate-limits in your project. Codex loads it when a task matches its description.
Can I use Together Rate Limits 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 together-rate-limits -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/together-rate-limits, .gemini/skills/together-rate-limits, .github/skills/together-rate-limits and .opencode/skills/together-rate-limits in your project.
What does Together Rate Limits need to run?
SKILL.md names no scripts, command-line tools or credentials: Together Rate Limits is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; measurement requires authorized Together AI serverless responses.
Does Together Rate Limits access the network?
SKILL.md names 1 domain. As links in the text: docs.together.ai. This is read from the text; nothing was executed.
Is Together Rate Limits 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 Together Rate Limits use?
Together Rate Limits 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 Together Rate Limits use?
About 986 tokens (SKILL.md is roughly 3.9k 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 758 tokens, read only when the agent opens those files.
What are the alternatives to Together Rate Limits?
Skills that share tags, products or a category with Together Rate Limits: Apiker (hodgef/apiker, 127 stars), Write API Route (ryokun6/ryos, 1.3k stars), Neon Functions (neondatabase/agent-skills, 100 stars) and Amazon Elasticache (aws/agent-toolkit-for-aws, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Together Rate Limits?
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.