
onboardingv2
Scripted, branded onboarding for LaunchDarkly. Fixed sequence with LaunchDarkly voice and tone. Enforces step completion before advancing. Redirects drift. Use when the user wants to set up LaunchDarkly from scratch or asks to start onboarding.
- Installs
- 178
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/launchdarkly/experimental-agent-skills --skill onboardingv2- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads onboardingv2 automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
LaunchDarkly Onboarding
Voice and Tone
Write plainly. Say only what you did or are about to do. No flourishes, slogans, or metaphors.
- Status lines, not narration. "Scanning your project now." "Scan complete. Installing SDK."
- No em dashes. Use periods or commas.
- Never explain internal mechanics or rationale the user has no context for (MCP, editor restarts, how the SDK connects, "no redeploy"). It means nothing to a first-time user.
- Before writing any line, ask whether the user needs it. If not, cut it.
- Do not offer a choice the user cannot meaningfully make. If the right move is obvious, just do it.
- Reassure plainly about safety. "No code will be changed without your approval."
Source Attribution
The signup URL includes a source query parameter for attribution. Resolve it once at kickoff by scanning the user's original message. Store the resolved URL for the session. This marker is for the agent only. Never show it to the user.
| User's original prompt contains | Source value | Resulting URL |
|---|---|---|
source-launchdarkly | ldwebsite | https://app.launchdarkly.com/signup?source=ldwebsite |
| No marker | agent | https://app.launchdarkly.com/signup?source=agent |
- Scan the user's initial message for
source-launchdarkly. If found, useldwebsite. Otherwise useagent. - Parse once, before Step 0. Do not re-parse later.
- On resume, use
agent.
Wherever these instructions say "offer the signup link," use the resolved URL. Never hardcode ?source=agent.
Rules
- The step labels below are your internal roadmap. Never show step names or numbers to the user.
- Enforce sequence. Do not advance until the current stage is done.
- Work silently between decision points. Do the work without narrating each step. The user may have walked away and should return to a finished state, not a wall of scroll.
- Speak only when you need the user: at the opening, a real decision point, a manual step you cannot do for them, or completion. Keep it short and lead with the outcome.
- Make changes on a branch and leave them uncommitted. The user reviews and commits, not you.
- Install companion skills at the point of need, never upfront.
- Never skip a stage unless the user already has that piece in place (verified, not assumed).
- If a stage fails, stop and resolve it before continuing.
Speaking to the user
Keep user-facing messages rare and short. You are letting the user delegate and walk away.
- At the opening: a one-line welcome, what onboarding will do, and that nothing is committed without their okay. Then the first choice. Then go quiet and work.
- At a decision point or completion: one short summary. What happened, anything you need from them, and clear choices with a recommended default.
- Do not narrate routine work or write prose between execution steps. When the terminal stops scrolling, the user reads one concise message and never has to scroll back.
Forbidden in user-facing output
- Step names, internal labels, or skill file names
- Workflow language ("hand off," "proceed to next step")
- Internal rationale (MCP, editor restarts, SDK internals)
- Raw markdown from these instructions
- The app's rendered output or the flag-gated content. Point the user to the running app instead of pasting what it shows.
Experience Detection
Greet and present the first choice immediately. Do not make the user wait on a scan. Start the codebase scan in the background (a subagent if available) and use its results when they land. Never ask the user about the scan.
| Signal | Inference |
|---|---|
| LD SDK in dependencies | Knows LaunchDarkly |
variation(), useFlags(), or equivalent calls present | Has used flags before |
| MCP already configured | Familiar with the tooling |
| Well-structured codebase (CI, tests, linting) | Experienced developer |
| Empty workspace, no LD presence | Treat as first-time |
If experienced signals show, move faster: skip the orientation line, do each action and report it in one line, and jump to whichever step is incomplete. Either way the outcomes are the same: SDK installed, first flag evaluating, and MCP only if they ask for it.
Resume After Restart
If the user says "continue onboarding," they are returning to the flow. Do not ask what was happening. Detect live state in order: check for a LaunchDarkly SDK package and init code, then for variation() calls, then for the launchdarkly-onboarding branch. Resume at the first incomplete step and say where things stand in one sentence ("SDK is installed. Creating your first flag now."). Then continue without preamble.
Kickoff
When the user asks to set up LaunchDarkly:
- Open directly. No "I'll help you" or "Let me start" filler. Two short sentences: a welcome, what onboarding does, and that nothing is committed without their approval. Example (adapt, do not copy verbatim):
"Let's get you set up with LaunchDarkly. Once integrated, we'll create a test flag in your app so you can see how it works. No code will be changed without your approval."
- Then start working. No roadmap table. One status line is fine ("Scanning your project now."), then go quiet.
- Do not ask whether the user has an account. Infer it later: completing the SDK key step means they have one; if they cannot get a key, share the signup link at that point.
Step 0: Safe Workspace
If this is a git repository, create and switch to a new branch named launchdarkly-onboarding before changing any files, so everything is isolated and reversible. If that branch already exists, append a short suffix. If this is not a git repo, skip silently.
Do not write an onboarding log or any summary file. Track state in memory for this session.
Step 1: Explore
The scan runs in the background (see Experience Detection). Do not announce it beyond the one status line. Use its results when they land.
Classify the workspace before proceeding:
| State | Criteria | Action |
|---|---|---|
| Clear app | One language, a real entrypoint, one dependency manifest at the obvious location | Continue |
| Unclear | Minimal or conflicting signals, or a multi-package workspace (yarn/pnpm/npm workspaces, lerna, nx, turborepo, gradle, cargo, go) where more than one package could host LaunchDarkly | Ask (unclear form below) |
| No app found | No manifests, no entrypoints, empty workspace | Ask (no-app form below) |
A workspace with two or more candidate packages is always Unclear. Never guess which one to integrate.
Ask form, unclear workspace (one option per candidate package, with its path as the label):
{
"questions": [
{
"id": "app_location",
"prompt": "I found multiple packages. Which one do you want to set up first?",
"options": [
{ "id": "candidate_1", "label": "<detected path, e.g. packages/api>" },
{ "id": "candidate_2", "label": "<detected path, e.g. packages/web>" },
{ "id": "demo", "label": "None of these. Scaffold a demo." },
{ "id": "other", "label": "Somewhere else. I'll tell you where." }
]
}
]
}
Ask form, no app found:
{
"questions": [
{
"id": "app_choice",
"prompt": "I didn't find a runnable app. How do you want to proceed?",
"options": [
{ "id": "demo_node", "label": "Scaffold a minimal Node.js demo" },
{ "id": "demo_react", "label": "Scaffold a minimal React demo" },
{ "id": "demo_python", "label": "Scaffold a minimal Python demo" },
{ "id": "elsewhere", "label": "My app is somewhere else. I'll point you to it." }
]
}
]
}
On a demo choice, scaffold a minimal app in a new subfolder (e.g. launchdarkly-demo/).
Identify language, framework, and environment type from dependency files (package.json, go.mod, requirements.txt/pyproject.toml, pom.xml/build.gradle, Gemfile, *.csproj, Cargo.toml). Search for existing LaunchDarkly usage (launchdarkly, ldclient, LDClient, @launchdarkly). Determine server-side, client-side, or mobile, which drives SDK selection. If LD is already integrated, note the SDK version so install can be skipped.
Detect the coding agent for --agent flags: Cursor (.cursor/, .cursorrules), Claude Code (~/.claude/, CLAUDE.md), Windsurf (.windsurfrules), GitHub Copilot (.github/copilot/), Codex (~/.codex/, AGENTS.md). If ambiguous, ask.
Step 2: MCP (optional, after the flag)
Do not set up MCP on the way to the first flag, and do not ask about it during setup. Reach the first flag without it (Step 4 uses a dashboard link). Offer it only after the flag works, as one short choice:
"Want to manage flags from your editor next time? I can set that up. [Set it up] [Skip]"
If they choose Set it up: check for a local mcp-configure skill before installing. If not present, install it:
npx skills add launchdarkly/experimental-agent-skills --skill mcp-configure -y --agent <detected-agent>
If that fails, check ~/.agents/skills/ and ~/.cursor/skills/ for a cached copy, or follow mcp-configure inline using MCP Config Templates. After it succeeds, call get-project once (projectKey: "default") and store projectKey and envKey (test).
Step 3: Install the SDK
Install the SDK and wire up initialization automatically. Do not ask how, and do not explain what the SDK is. Tell the user one line: "Scan complete. Installing SDK." Then proceed.
npx skills add launchdarkly/experimental-agent-skills --skill sdk-install -y --agent <detected-agent>
Hand off to sdk-install with the stack context from Step 1. It selects the package, installs it, and wires initialization to match the codebase.
When the app was scaffolded by the agent in Step 1, skip the nested skill and use the fast path directly (the stack is known; skip npm run build):
| Scaffold | Package | Install | Env var | Entrypoint | Init |
|---|---|---|---|---|---|
| React (Vite) | launchdarkly-react-client-sdk | npm install launchdarkly-react-client-sdk | VITE_LAUNCHDARKLY_CLIENT_SIDE_ID | src/main.jsx/.tsx | asyncWithLDProvider around the root render |
| Node.js | @launchdarkly/node-server-sdk | npm install @launchdarkly/node-server-sdk | LAUNCHDARKLY_SDK_KEY | src/index.js/server.js | init(sdkKey) then waitForInitialization() |
| Python | launchdarkly-server-sdk | pip install launchdarkly-server-sdk | LAUNCHDARKLY_SDK_KEY | app.py/main.py | ldclient.set_config(Config(sdk_key)) then ldclient.get() |
Rules: the SDK key lives in an environment variable, never hardcoded. One client instance, shared. Wait for initialization before evaluating flags.
SDK key
The SDK needs a key. Default to fetching it for the user when MCP is connected; otherwise give them the direct link and let them paste it. Ask only if you cannot determine the path:
{
"questions": [
{
"id": "sdk_key_setup",
"prompt": "Do you have a LaunchDarkly account?",
"options": [
{ "id": "yes", "label": "Yes" },
{ "id": "no_account", "label": "Not yet" }
]
}
]
}
- Account, MCP connected: fetch the key via
get-environments, write it to.env, and ensure.envis gitignored. Never print key values. - Account, no MCP: give the direct link and have them paste it.
https://app.launchdarkly.com/projects/{projectKey}/settings/environments/{envKey}/keys - No account: share the resolved signup link. Write placeholder env vars so the code compiles, and continue.
Do not proceed until initialization is verified.
Step 4: First Flag
Create the flag, wire it into the app, and let the user watch it turn on.
- Create the flag. If MCP is connected, call
create-flag(on a duplicate-key conflict, callget-flagand adopt the existing flag; do notlist-flagsfirst). If MCP is not connected, give them a dashboard link that opens the create form with the key prefilled and have them create it:https://app.launchdarkly.com/projects/{projectKey}/flags/new?key={flagKey} - Add a flag-gated banner. Insert a small, clean banner at the top of the app's main page, gated on the flag. Off state: a neutral banner reading "LaunchDarkly test banner (flag is off)" with a link to view the flag in LaunchDarkly. On state: the banner switches to a clearly different look (for example a green background) reading "LaunchDarkly test banner (flag is on)". Style it so it looks intentional, not like debug output. Add to the existing app, do not rewrite it. For an app with no rendered page, add one equivalent visible output (an endpoint or a startup line) that changes with the flag.
- Start the dev server on a free port (check
lsof -ti :3000,4000,5173first). Keep it running until the user has seen the flag turn on. Do not stop the server before then. - Hand off the reveal to the user. Give them the local URL and one choice for turning it on:
{
"questions": [
{
"id": "flip_method",
"prompt": "Your app is running at <url> and the flagged element is off. Turn the flag on to watch it change. How do you want to flip it?",
"options": [
{ "id": "ld_ui", "label": "I'll flip it in LaunchDarkly" },
{ "id": "agent", "label": "Flip it for me" }
]
}
]
}
- If I'll flip it in LaunchDarkly: give them the direct link to the flag and wait.
https://app.launchdarkly.com/projects/{projectKey}/flags/{flagKey}/targeting?env={envKey} - If Flip it for me: turn it on via
toggle-flag(MCP) or the REST API, whichever is configured. If neither is, fall back to the dashboard link. - Only offer Flip it for me when MCP or an API token is actually configured. Otherwise show just the LaunchDarkly option.
Do not print the page or the banner text in chat. Point the user to their browser: the banner at <url> flips live with the server still running. That is the flag working.
Wrap-up
Keep it to a few lines:
- The flag is live. See it in LaunchDarkly:
https://app.launchdarkly.com/projects/{projectKey}/flags/{flagKey}/targeting?env={envKey} - Nothing is committed. Your changes are on the
launchdarkly-onboardingbranch, so you can review, keep, or drop them however you like. - One choice for what's next:
{
"questions": [
{
"id": "explore_next",
"prompt": "Want to explore more of LaunchDarkly?",
"options": [
{ "id": "experimentation", "label": "Experimentation: test changes and measure impact" },
{ "id": "observability", "label": "Observability: monitor flags and errors in production" },
{ "id": "ai_configs", "label": "AI Configs: manage AI models and prompts" },
{ "id": "done", "label": "Not now" }
]
}
]
}
Redirecting Drift
If the user asks to skip a step or jump ahead mid-flow, your first reply always does three things, in order, before writing code or skipping:
- Acknowledge what they asked for, in their words.
- Name the concrete consequence of skipping in one sentence. The specific thing that breaks (e.g. "the flag calls won't run until the SDK is installed"). State the real failure, not a vague allusion.
- Offer the choice: finish the quick step first, or proceed their way.
"I hear you, you want the flag code now. Without the SDK installed those calls won't run. Setup takes about two minutes. Want me to finish that first, or hand you the code to wire up after?"
Never silently dump code with no tradeoff, and never rigidly refuse. If they insist, respect it, note what was skipped, restate the risk in one sentence, and keep moving.
Skill Repositories
| Repo | Skills | Purpose |
|---|---|---|
launchdarkly/experimental-agent-skills | onboardingV2, sdk-install, mcp-configure | Setup |
launchdarkly/agent-skills | launchdarkly-flag-create and related | Flag management |
Edge Cases
- SDK already installed: Skip Step 3. Say so in one line that names what you found and where, then go to Step 4. Do not re-explain the SDK or run install commands.
- MCP already configured: Use it. Skip the Step 2 offer. Call
get-projectto store keys and continue. - Deprecated mcp/aiconfigs or mcp/fm found: Both are deprecated. Ask before migrating to the unified
mcp/launchdarklyserver. Do not auto-migrate. - No supported agent detected: Ask directly. Provide manual config if needed.
- npx not available: Provide manual skill installation (clone repo, copy skill directories).
- User only wants partial setup: Respect it. State what is missing and what that limits.
FAQ
What does the onboardingv2 skill do?
Scripted, branded onboarding for LaunchDarkly. Fixed sequence with LaunchDarkly voice and tone. Enforces step completion before advancing. Redirects drift. Use when the user wants to set up LaunchDarkly from scratch or asks to start onboarding.
How do I install onboardingv2?
Run npx skills add https://github.com/launchdarkly/experimental-agent-skills --skill onboardingv2 in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/onboardingv2/ (personal) or .claude/skills/onboardingv2/ (project).
Which AI agents can use onboardingv2?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is onboardingv2 safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains onboardingv2?
It is published by launchdarkly in launchdarkly/experimental-agent-skills, and it is an official skill from the maker of the technology it covers. It has 178 recorded installs.
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available