MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
A skill your agent uses when authoring a Relayflows flow (@relayflows/surface / @relayflows/sdk, the journal-based v2 engine — the CLI is flows, package versions 2.0.x) in TypeScript or YAML/JSON.
$ npx skills add AgentWorkforce/relay --skill writing-relayflows -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgentWorkforce/relay writing-relayflows --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/AgentWorkforce/relay.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/writing-relayflows .claude/skills/writing-relayflows && 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 "writing-relayflows" agent skill from https://github.com/AgentWorkforce/relay/tree/main/.agents/skills/writing-relayflows into .claude/skills/writing-relayflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-relayflows", 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/AgentWorkforce/relay/tree/main/.agents/skills/writing-relayflowsType 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 AgentWorkforce/relay --skill writing-relayflows -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgentWorkforce/relay writing-relayflows --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentWorkforce/relay.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/writing-relayflows .agents/skills/writing-relayflows && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "writing-relayflows" agent skill from https://github.com/AgentWorkforce/relay/tree/main/.agents/skills/writing-relayflows into .agents/skills/writing-relayflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-relayflows", 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 AgentWorkforce/relay --skill writing-relayflows -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgentWorkforce/relay writing-relayflows --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentWorkforce/relay.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/writing-relayflows .cursor/skills/writing-relayflows && 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 "writing-relayflows" agent skill from https://github.com/AgentWorkforce/relay/tree/main/.agents/skills/writing-relayflows into .cursor/skills/writing-relayflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-relayflows", 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/AgentWorkforce/relay.git --path .agents/skills/writing-relayflows--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 AgentWorkforce/relay --skill writing-relayflows -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgentWorkforce/relay writing-relayflows --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentWorkforce/relay.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/writing-relayflows .gemini/skills/writing-relayflows && 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 "writing-relayflows" agent skill from https://github.com/AgentWorkforce/relay/tree/main/.agents/skills/writing-relayflows into .gemini/skills/writing-relayflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-relayflows", 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 AgentWorkforce/relay writing-relayflowsInstalls 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 AgentWorkforce/relay --skill writing-relayflows -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgentWorkforce/relay.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/writing-relayflows .github/skills/writing-relayflows && 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 "writing-relayflows" agent skill from https://github.com/AgentWorkforce/relay/tree/main/.agents/skills/writing-relayflows into .github/skills/writing-relayflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-relayflows", 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 AgentWorkforce/relay --skill writing-relayflows -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AgentWorkforce/relay writing-relayflows --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentWorkforce/relay.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/writing-relayflows .opencode/skills/writing-relayflows && 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 "writing-relayflows" agent skill from https://github.com/AgentWorkforce/relay/tree/main/.agents/skills/writing-relayflows into .opencode/skills/writing-relayflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "writing-relayflows", 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.
writing-relayflowsA skill your agent uses when authoring a Relayflows flow (@relayflows/surface / @relayflows/sdk, the journal-based v2 engine — the CLI is flows, package versions 2.0.x) in TypeScript or YAML/JSON.
Writing Relayflows is an agent skill from AgentWorkforce/relay. Use when authoring a Relayflows flow (@relayflows/surface / @relayflows/sdk, the journal-based v2 engine — the CLI is flows, package versions 2.0.x) in TypeScript or YAML/JSON. Covers the three-rung ladder (run/llm/agent), the resident verbs (human/dispatch/done), verification gates, TypeScript vs YAML authoring, per-step cli/model selection and its resolution order, flows.json, and flows check/run/resume with their real refusal shapes and exit codes. Not for the older, unrelated @relayflows/core WorkflowBuilder…
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with TypeScript. The repository describes itself as: Infrastructure for coding agents. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 734600d. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript, yaml and json).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comagentrelay.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Writing Relayflows loads about 3.3k tokens when it runs. Until then it costs about 183 tokens; SKILL.md has 824 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.
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.
The full file from AgentWorkforce/relay at commit 734600d, republished under its Apache-2.0 licence (© AgentWorkforce). 824 words, ~3,312 tokens.
.claude/skills/writing-relayflows/SKILL.md (or your agent's skills folder).Relayflows turns a coding-agent task into steps a journal can inspect, verify, and resume. A flow is data (YAML/JSON) or code (TypeScript) that compiles to the same journal-backed kernel spec. Every effect is journaled before it's treated as real — a journal write that fails fails the step, with no silent fallback.
Name collision warning. This repo also has skills for an older, unrelated engine that is also casually called "Relayflow" (singular) — @relayflows/core's WorkflowBuilder, a chained builder (workflow('name').pattern('dag').agent(...).step(...).run()). That's writing-agent-relay-workflows and migrating-persona-to-relayflow's territory. This skill is the v2 engine: @relayflows/surface's flow() function and the YAML/JSON dialect compiled by @relayflows/sdk. If you see .pattern(, .agent( as a chained builder call, or ctx.workflow.run(), you're in the other engine — stop and use one of those skills instead.
.flow.ts or .flow.yaml/.flow.json for the flows CLI (package @relayflows/sdk, binary name flows).run (shell), llm (bare model call), or agent (harnessed coding agent in a workspace).cli/model for an agent or llm step, in either language.REFUSED [...] message from flows check or flows run.Three step verbs, one per rung — never more (packages/sdk/src/spec.ts, export type StepType = 'deterministic' | 'llm' | 'agent';):
run / deterministic — a shell command. No model. Implicit gate is exit_code == 0.llm / llm — a bare model call. Prompt in, verified output out. No workspace, no tool use.agent / agent — a harnessed coding agent in a workspace. Returns { summary, artifacts }, not raw text.Plus four resident verbs that aren't ladder rungs: human (durable approval), dispatch (hand off to a child flow), done (typed finish), and in YAML, on/triggers (event entry points — out of scope for this skill).
Most flows only need run and llm. Climb to agent once a step needs hands on a real workspace.
import { flow } from '@relayflows/surface';
export default flow('hello', async (f) => {
const greeting = await f.run('echo "Hello from Relayflows"');
console.log(greeting.trim());
const answer = await f.agent('greeter', {
task: 'Reply with one short hello sentence. Do not use tools or modify files.',
cli: 'claude',
model: 'claude-sonnet-4-6',
});
console.log(answer.summary);
f.done('success');
});version: '0.1.0'
name: hello
steps:
- id: greeting
type: deterministic
command: 'echo "Hello from Relayflows"'
- id: greeter
type: agent
dependsOn: [greeting]
instruction: 'Reply with one short hello sentence. Do not use tools or modify files.'
cli: claude
model: claude-sonnet-4-6Ctx contract (TypeScript)packages/surface/src/context.ts, current as of origin/main@86a2ec2:export interface AgentResult {
summary: string;
artifacts: string[];
}
export interface AgentOptions {
task: string;
workspace?: string;
cli?: string;
model?: string;
}
export interface Ctx {
run(command: string): Step<string>;
llm(strings: TemplateStringsArray, ...values: unknown[]): Step<string>;
llm(
prompt: string,
options: { output: Record<string, unknown>; cli?: string; model?: string }
): Step<unknown>;
agent(name: string, options: AgentOptions): Step<AgentResult>;
human(question: string, options: { to: string }): Promise<boolean>;
dispatch<T>(flow: string, input: unknown): Promise<T>;
done(reason: RunCompletionReason): void;
cloud: CloudHelper;
slack: SlackHelper;
}packages/sdk/src/spec.ts)interface DeterministicStepSpec {
type: 'deterministic';
id: string;
command: string;
dependsOn?: string[];
timeoutMs?: number;
verification?: VerificationSpec; // omit for implicit exit_code
}
interface LlmStepSpec {
type: 'llm';
id: string;
prompt: string;
dependsOn?: string[];
verification?: OutputVerificationSpec;
model?: string;
cli?: string;
}
interface AgentStepSpec {
type: 'agent';
id: string;
instruction: string;
dependsOn?: string[];
verification?: OutputVerificationSpec;
agent?: string; // selects a named FlowSpec.agents entry
cli?: string;
model?: string;
surfaces?: { workspace?: { surface: string }[]; streams?: { stream: string }[]; external?: string[] };
recoveryMode?: 'reset' | 'inspect' | 'manual'; // default 'reset'
permissions?: {
fileGlobs?: string[];
networkAllowlist?: string[];
accessPreset?: 'readonly' | 'readwrite';
};
}
interface FlowSpec {
version: string; // required, e.g. '0.1.0' — not optional
name?: string;
cli?: string; // flow-level CLI default
agents?: Record<string, { cli: string; model: string }>; // both fields required
steps: StepSpec[];
budget?: { maxTokensIn?: number; maxTokensOut?: number; maxDollars?: string };
}packages/sdk/src/spec.ts, VerificationGateType):- id: classify
type: llm
prompt: 'Classify this ticket as bug, feature, or question: "the export button does nothing"'
cli: claude
model: claude-sonnet-4-6
verification:
type: output_contains
value: bugcli / model: what a step actually runs oncli and model directly (TypeScript since flows#310, AgentOptions.cli?/.model?). Resolution order for cli — checked once per step by preflight.ts's resolveCli (packages/sdk/src/preflight.ts:265-282), identical regardless of authoring language because both compile to the same StepSpec:$ flows check hello.flow.yaml # agent step, no cli anywhere
REFUSED [cli_unresolved] Step "greeter" has no CLI at step, flow, or project level. No flows.json was found from "..." to the filesystem root.flows.json{ "cli": "claude", "executors": ["cron"], "models": ["claude-sonnet-4-6"] }import { flow } from '@relayflows/surface';
export default flow('ship-feature', async (f) => {
const plan = await f.agent('planner', {
task: 'Research and plan: add OAuth2 support',
workspace: 'acme/api: readonly', // compiles to relayauth path scopes
});
const ok = await f.human(`Ship this?\n${plan.summary}`, { to: 'khaliq' });
if (!ok) return f.done('canceled');
const pr = await f.dispatch('garden/implement', plan); // hands off to a child flow
f.done('success');
});flows check / run / resumepackages/sdk/src/cli.ts):flows check [--json] <flow.yaml|spec.json>
flows run [--json] [--no-spawn] [--no-observer-link] [--data-dir <dir>] [--local-agent] <flow.yaml|spec.json>
flows run [--json] [--no-spawn] [--no-observer-link] [--data-dir <dir>] [--local-agent] <flow.ts> --input <inline-json-or-file>
flows resume [--json] [--no-spawn] [--no-observer-link] [--data-dir <dir>] <run-id>version in a YAML/JSON FlowSpec. It's required, not optional — flows check refuses a spec without it.agents: to a TypeScript flow() header. FlowHeader has no such field; it throws TypeError: flow header has unknown fields: agents at authoring time. Named-agent maps + agent: selector are YAML/JSON-only (flows#300 tracks TypeScript composition via use:, not yet shipped).flows.json's models sets a default model. It only validates models already declared elsewhere; it never selects one..then()-chaining one. Both are refused (unawaited_step / unsupported_verb) rather than silently ignored — the executor closes every root operation's lifecycle explicitly..flow.ts without --input. Required even for flows that don't use their input argument.done() reason. The set is closed: success | step_failed | canceled | budget_exceeded. Don't invent partial or skipped.agents: { reviewer: { cli, model } } + reuse across steps by name) — YAML/JSON only today. Tracked for TS composition via use: at flows#300.recoveryMode, permissions, surfaces, budget, memory on agent steps — real YAML/JSON fields with no TypeScript equivalent. Author that step in YAML and reach it from TypeScript with f.dispatch if you need them.flows run --cloud), triggers/webhooks, memory retrieval, and the f.mcp/f.slack helper namespaces — each is its own surface with its own gotchas; see the Relayflows product docs for what's shipped versus designed-but-not-yet-implemented.@relayflows/core WorkflowBuilder engine — see writing-agent-relay-workflows and migrating-persona-to-relayflow in this repo.| Verb / field | Language | Notes |
|---|---|---|
f.run(command) / type: deterministic | both | shell command, implicit exit_code gate |
f.llm(...) / type: llm | both | bare model call, no workspace |
f.agent(name, opts) / type: agent | both | harnessed coding agent, returns {summary, artifacts} |
f.human(question, {to}) | TS only | durable approval; YAML has no equivalent yet |
f.dispatch(flow, input) | TS only | hand off to a named child flow |
f.done(reason) / — | TS / kernel | one of success | step_failed | canceled | budget_exceeded |
options.cli / step.cli | both | per-call/step CLI override (TS: flows#310) |
options.model / step.model | both | per-call/step model; no flow/project default |
agent: <name> + agents: {...} | YAML/JSON only | named cli/model pair, reused by selector |
flows check <file> | CLI | pure validate + preflight, no daemon |
flows run <file> [--input ...] | CLI | actually executes; .flow.ts needs --input |
flows resume <run-id> | CLI | resume a parked/crashed run |
AgentWorkforce/flows@86a2ec2 (origin/main). Built packages/surface and packages/sdk from source in a clean worktree (published npm @relayflows/surface@2.0.8 is stale — it predates flows#310 and lacks cli/model on AgentOptions; local build was symlinked in instead), then ran the real CLI:$ flows check hello.flow.yaml # this skill's YAML example, cli/model added, flows.json models allowlist set
CHECK PASSED hello.flow.yaml # exit 0
$ flows check hello.flow.ts # this skill's TypeScript example
CHECK PASSED hello.flow.ts # exit 0
$ flows check extract.flow.yaml # this skill's output_contains example
CHECK PASSED extract.flow.yaml # exit 0
$ flows check hello.flow.yaml # same YAML, no flows.json anywhere
REFUSED [cli_unresolved] Step "greeter" has no CLI at step, flow, or project level. ... # exit 2
$ flows check hello.flow.yaml # step model not in flows.json's models[]
REFUSED [model_unknown] Step "greeter" declares model "claude-sonnet-4-6" ... not listed in project model registry ... # exit 2© AgentWorkforce, 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
Just SKILL.md in .agents/skills/writing-relayflows of AgentWorkforce/relay.
Open the folder on GitHubat commit 734600d
Writing Relayflows 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 |
|---|---|---|---|---|---|---|
| Writing Relayflows this skillAgentWorkforce/relay | 865 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 62 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Web Artifacts Builderanthropics/skills | 180k | 40 repos | ~769 | Automated safety check: Pass | Apache-2.0 | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 24 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/skills
Builds multi-component claude.ai HTML artifacts as a small React, TypeScript and Tailwind project, then bundles it into one shareable HTML file.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
nrwl/nx
Import, merge, or combine repositories into an Nx workspace using nx import.
AgentWorkforce/relay
A skill your agent uses when testing web applications with visual verification - automates Chrome browser interactions, element selection, and screenshot capture for confirming UI functionality
AgentWorkforce/relay
A skill your agent uses when you need Codex to coordinate multiple agents through Agent Relay for peer-to-peer messaging, lead/worker handoffs, or shared status tracking across sub-agents and…
AgentWorkforce/relay
A skill your agent uses when seeing WebSocket errors like "Invalid frame header", "RSV1 must be clear", or "WSERRUNEXPECTEDRSV1" - covers multiple WebSocketServer conflicts, compression issues, and…
AgentWorkforce/relay
A skill your agent uses when implementing GitHub OAuth + GitHub App authentication with Nango - provides two-connection pattern for user login and repo access with webhook handling
AgentWorkforce/relay
A skill your agent uses when building Cmd+K command palettes in React - covers keyboard navigation with arrow keys, keeping selected items in view with scrollIntoView, filtering with shortcut…
AgentWorkforce/relay
A skill your agent uses when you are a registered relay agent (a spawned worker, or a lead that called registeragent) coordinating with peers in real time over current Agent Relay MCP tools -…
Works with
A skill your agent uses when authoring a Relayflows flow (@relayflows/surface / @relayflows/sdk, the journal-based v2 engine — the CLI is flows, package versions 2.0.x) in TypeScript or YAML/JSON. Writing Relayflows is an agent skill from AgentWorkforce/relay.x) in TypeScript or YAML/JSON.
Writing Relayflows fits situations like: authoring a Relayflows flow (@relayflows/surface / @relayflows/sdk; the journal-based v2 engine — the CLI is flows; package versions 2.0.x) in TypeScript.
Run `npx skills add AgentWorkforce/relay --skill writing-relayflows -a claude-code`. Or copy the skill folder (.agents/skills/writing-relayflows in AgentWorkforce/relay) into .claude/skills/writing-relayflows in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AgentWorkforce/relay --skill writing-relayflows -a codex`. Or copy the skill folder (.agents/skills/writing-relayflows in AgentWorkforce/relay) into .agents/skills/writing-relayflows in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgentWorkforce/relay --skill writing-relayflows -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/writing-relayflows, .gemini/skills/writing-relayflows, .github/skills/writing-relayflows and .opencode/skills/writing-relayflows in your project.
SKILL.md names no scripts, command-line tools or credentials: Writing Relayflows is instructions for the agent only.
SKILL.md names 2 domains. As links in the text: github.com and agentrelay.com. This is read from the text; nothing was executed.
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.
Writing Relayflows is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Writing Relayflows: MCP Server Builder (anthropics/skills, 180k stars), Web Artifacts Builder (anthropics/skills, 180k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AgentWorkforce (a GitHub organization) maintains it in AgentWorkforce/relay, which has 865 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 7, 2026.
Source: AgentWorkforce/relay on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.