Bfl API
black-forest-labs/skills
BFL FLUX API integration guide covering endpoints, async polling patterns, rate limiting, error handling, webhooks, and regional endpoints with Python and TypeScript code examples.
Build a CAST AI REST client that respects endpoint-specific throttling, bounded retries, and an explicit request budget.
Install Castai Rate Limits
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-rate-limits -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-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/castai-rate-limits .claude/skills/castai-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 "castai-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-rate-limits into .claude/skills/castai-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-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/castai-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 castai-rate-limits -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-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/castai-rate-limits .agents/skills/castai-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 "castai-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-rate-limits into .agents/skills/castai-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-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 castai-rate-limits -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-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/castai-rate-limits .cursor/skills/castai-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 "castai-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-rate-limits into .cursor/skills/castai-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-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/castai-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 castai-rate-limits -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-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/castai-rate-limits .gemini/skills/castai-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 "castai-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-rate-limits into .gemini/skills/castai-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-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 castai-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 castai-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/castai-rate-limits .github/skills/castai-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 "castai-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-rate-limits into .github/skills/castai-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-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 castai-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 castai-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/castai-rate-limits .opencode/skills/castai-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 "castai-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-rate-limits into .opencode/skills/castai-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-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
castai-rate-limits- GitHub stars
- 2.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 437 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Build a CAST AI REST client that respects endpoint-specific throttling, bounded retries, and an explicit request budget.
- Works in 6 steps: Inventory request producers → Classify operations → Define the budget → …
- A job receives 429 responses
- SKILL.md covers Overview, Prerequisites, Instructions and Tool Discipline, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Castai Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build a CAST AI REST client that respects endpoint-specific throttling, bounded retries, and an explicit request budget. Use when a job receives 429 responses, polls CAST AI, or fans out across clusters and organizations. Trigger with: "handle CAST AI rate limits", "stop CAST AI 429s", "make CAST AI polling safe".
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 the current CAST AI API specification and observability for the client; limits vary by endpoint and upstream edge controls
It sits in Backend & APIs, covering Rate limiting and Third-party API integration. 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
- A job receives 429 responses
- Fans out across clusters and organizations
- With: handle CAST AI rate limits
- Stop CAST AI 429s
Example prompts
- “handle CAST AI rate limits”
- “stop CAST AI 429s”
- “make CAST AI polling safe”
- “/castai-rate-limits”
Requirements
- Compatibility (from SKILL.md): Requires the current CAST AI API specification and observability for the client; limits vary by endpoint and upstream edge controls
- 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.cast.aiapi.cast.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 the current CAST AI API specification and observability for the client; limits vary by endpoint and upstream edge controls
From compatibility in the SKILL.md frontmatter.
Context cost
Castai Rate Limits loads about 1.1k tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 437 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). 437 words, ~1,127 tokens.
Download SKILL.mdSave it as
.claude/skills/castai-rate-limits/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- castai-rate-limits
- description
- Build a CAST AI REST client that respects endpoint-specific throttling, bounded retries, and an explicit request budget. Use when a job receives 429 responses, polls CAST AI, or fans out across clusters and organizations. Trigger with: "handle CAST AI rate limits", "stop CAST AI 429s", "make CAST AI polling safe".
- allowed-tools
- Read, Grep, Write, Edit
- compatibility
- Requires the current CAST AI API specification and observability for the client; limits vary by endpoint and upstream edge controls
- version
- 2.0.0
- argument-hint
- [client-or-job-path]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, kubernetes, cast-ai, rate-limits, reliability
CAST AI Request-Budget Control
Overview
Treat rate capacity as an endpoint-specific runtime signal, not a single invented requests-per-second number. Bound concurrency, retries, polling, and total work while preserving correct authentication and organization scope.
Prerequisites
- Client path, CAST AI region, organization scope, endpoints, and workload volume
- Current API specification and observed response headers
- Idempotency classification and business deadline for every operation
Instructions
Step 1: Inventory request producers
Use Read and Grep to identify direct API calls, Terraform operations, polling loops, scheduled jobs, retries, pagination, and per-cluster fan-out. Calculate worst-case attempts, not only successful requests.
Step 2: Classify operations
Separate reads, idempotent updates, and non-idempotent mutations. Only retry operations whose semantics are proven safe. Keep auth failures, permission denials, malformed requests, and policy rejections outside the retry path.
Step 3: Define the budget
Use Write or Edit to set per-endpoint concurrency, maximum attempts, maximum elapsed time, request timeout, queue capacity, and global job ceiling. Because CAST AI documents endpoint-dependent limits plus an upstream edge limiter, derive values from current specification and observed behavior.
Step 4: Handle throttling
On 429, honor a valid server-provided delay signal when present; otherwise use capped exponential backoff with jitter. Coordinate workers through one limiter, stop adding retries after the deadline, and avoid synchronized polling at fixed boundaries.
Step 5: Reduce demand
Cache stable reads within their acceptable staleness window, collapse duplicate requests, paginate deliberately, query only required organizations and clusters, and replace rapid status polling with a slower bounded schedule or documented notification path when suitable.
Show full SKILL.md (188 more words)Show less
Step 6: Test the failure envelope
Add deterministic tests for 429 with and without delay metadata, repeated 5xx, timeout, cancellation, queue overflow, deadline exhaustion, non-idempotent mutation, and mixed-region credentials. Assert no infinite loop and no duplicate unsafe mutation.
Tool Discipline
Use Read and Grep for client and specification analysis. Use Write and Edit for limiter logic, tests, and operational documentation. This skill does not send live requests or guess undocumented quota values.
Output
- Request inventory and idempotency map
- Endpoint-specific concurrency and retry budget
- Deterministic throttling and exhaustion tests
- Metrics for attempts, delay, queue depth, 429s, and dropped work
Examples
A nightly collector shares one limiter across cluster workers and stops at its batch deadline. A policy mutation returns 429 but is not replayed until its idempotency contract is established.
Error Handling
| Failure | Response |
|---|---|
| No endpoint limit is documented | Start conservatively and calibrate from observed responses |
| Delay metadata exceeds deadline | Fail with a resumable checkpoint |
| Queue reaches its bound | Shed or defer low-priority work |
| Mutation outcome is unknown | Reconcile state before any retry |
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/castai-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
Castai 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 |
|---|---|---|---|---|---|---|
| Castai Rate Limits this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Bfl APIblack-forest-labs/skills | 128 | 1 repos | ~2.5k | Automated safety check: Notes | MIT | |
| Venice API Keysveniceai/skills | 144 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Venice API Overviewveniceai/skills | 144 | — | ~3.5k | Automated safety check: Pass | MIT | |
| API IntegrationHack23/cia | 239 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Frappe Core APIImpertio-Studio/Frappe_Claude_Skill_Package | 189 | — | ~3.2k | Automated safety check: Pass | MIT |
Similar skills
Venice API Keys
veniceai/skills
Manages Venice API keys through the /api_keys endpoints: create, list, update and revoke keys, set spending limits, and read rate limits.
Venice API Overview
veniceai/skills
High-level map of the Venice.ai API: base URL, auth modes per endpoint, endpoint categories, response headers, pricing model, error shape and versioning.
API Integration
Hack23/cia
External API integration patterns, retry logic, circuit breakers, caching, rate limiting for government data APIs
Frappe Core API
Impertio-Studio/Frappe_Claude_Skill_Package
A skill your agent uses when building ERPNext/Frappe API integrations (v14/v15/v16) including REST API, RPC API, authentication, webhooks, and rate limiting.
Implementing API Patterns
ancoleman/ai-design-components
API design and implementation across REST, GraphQL, gRPC, and tRPC patterns.
More from jeremylongshore/tons-of-skills-marketplace
All 3,342 skills in this repoPerforming 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.
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.
Agent Context Loader
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
Aggregating Performance Metrics
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
Analyzing Capacity Planning
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
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.
Related
Categories
Questions about Castai Rate Limits
What does Castai Rate Limits do?
Build a CAST AI REST client that respects endpoint-specific throttling, bounded retries, and an explicit request budget. Castai Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build a CAST AI REST client that respects endpoint-specific throttling, bounded retries, and an explicit request budget.
When should I use Castai Rate Limits?
Castai Rate Limits fits situations like: A job receives 429 responses; fans out across clusters and organizations; with: handle CAST AI rate limits; stop CAST AI 429s.
How do I install Castai Rate Limits in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-rate-limits -a claude-code`. Or copy the skill folder (skills/.curated/castai-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/castai-rate-limits in your project. Claude Code loads it when a task matches its description.
How do I install Castai Rate Limits in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-rate-limits -a codex`. Or copy the skill folder (skills/.curated/castai-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/castai-rate-limits in your project. Codex loads it when a task matches its description.
Can I use Castai 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 castai-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/castai-rate-limits, .gemini/skills/castai-rate-limits, .github/skills/castai-rate-limits and .opencode/skills/castai-rate-limits in your project.
What does Castai Rate Limits need to run?
SKILL.md names no scripts, command-line tools or credentials: Castai Rate Limits is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit. Compatibility (from SKILL.md): Requires the current CAST AI API specification and observability for the client; limits vary by endpoint and upstream edge controls.
Does Castai Rate Limits access the network?
SKILL.md names 2 domains. As links in the text: docs.cast.ai and api.cast.ai. This is read from the text; nothing was executed.
Is Castai 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 Castai Rate Limits use?
Castai 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 Castai Rate Limits 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 151 tokens, read only when the agent opens those files.
What are the alternatives to Castai Rate Limits?
Skills that share tags, products or a category with Castai Rate Limits: Bfl API (black-forest-labs/skills, 128 stars), Venice API Keys (veniceai/skills, 144 stars), Venice API Overview (veniceai/skills, 144 stars) and API Integration (Hack23/cia, 239 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Castai 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.