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Audit score 90

launchdarkly-flag-command

launchdarkly/ai-tooling

Quick LaunchDarkly flag lookup and routing for `/flag` requests.

What is launchdarkly-flag-command?

Resolves `/flag` style queries into flag details and routes to specialized workflows. Use this to quickly find a flag by name or key, get a summary of its current configuration, or disambiguate between similar flags.

  • Parse `/flag` commands and normalize intent from multiple query formats
  • Search and disambiguate flag candidates using list-flags
  • Fetch and display flag configuration (key, name, environment state, rules)
  • Route removal/staleness questions to dedicated flag discovery or cleanup skills
  • Provide direct LaunchDarkly URLs for resolved flags
  • Handle environment and project context from user input

How to install launchdarkly-flag-command

npx skills add https://github.com/launchdarkly/ai-tooling --skill launchdarkly-flag-command
Prerequisites
  • LaunchDarkly MCP server configured in your environment
  • Access to list-flags and get-flag MCP tools
Claude Code
Cursor
Windsurf
Cline

How to use launchdarkly-flag-command

  1. 1.Type `/flag <query>` or equivalent (`flag <query>`, `find flag <query>`, etc.)
  2. 2.Provide a flag key, name fragment, or tag; optionally specify environment or project
  3. 3.If multiple matches appear, select the flag from the disambiguation list
  4. 4.Review the returned summary (key, name, state, rules, URL)
  5. 5.For removal/staleness questions, accept the routing message to the flag discovery or cleanup skill

Use cases

Good for
  • User types `/flag feature-x` to quickly see the flag's current state across environments
  • Team member asks "is this flag safe to remove?" and gets routed to the flag cleanup skill
  • Developer needs to disambiguate between multiple similarly-named flags before making changes
  • Quick lookup of flag targeting rules and off-variation behavior during incident response
Who it's for
  • Feature flag operators and platform engineers
  • Development teams managing LaunchDarkly flags
  • On-call engineers needing fast flag status checks
  • Teams using AI coding assistants with LaunchDarkly integration

launchdarkly-flag-command FAQ

What happens if I ask about removing or cleaning up a flag?

The skill returns the flag's current configuration summary, then routes you to the flag discovery or flag cleanup skill with a message explaining they can assess code references and dependencies. No removal verdict or steps are provided by this skill.

Can I create or modify a flag with this skill?

No. This is a read-only lookup entrypoint. To create or modify flags, you'll be routed to the flag create or flag targeting skills.

What if multiple flags match my query?

The skill returns a short disambiguation list showing key, name, and state for each candidate, then asks you to pick the one you need.

Which environment does it use by default?

Production, unless you specify a different environment in your request.

Can I see flag health or status across all environments?

The skill can fetch basic environment state and optionally call get-flag-health for a quick snapshot. For comprehensive cross-environment analysis, use the flag discovery skill.

Full instructions (SKILL.md)

Source of truth, from launchdarkly/ai-tooling.


name: launchdarkly-flag-command description: "Resolve /flag style requests into the right LaunchDarkly flag lookup flow. Use when the user types /flag, asks to quickly find a flag by name/key, wants a direct flag detail summary, or needs fast disambiguation between similar flags." license: Apache-2.0 compatibility: Requires the remotely hosted LaunchDarkly MCP server metadata: author: launchdarkly version: "1.0.0-experimental"

LaunchDarkly Flag Command Router

You're using a skill that standardizes quick /flag requests. Your job is to parse the user intent, resolve the requested flag with minimal friction, return an actionable summary, and route to deeper workflows when needed.

Scope Boundary

This skill is a read-only lookup entrypoint. It returns flag details and routes forward.

Hard constraints — you MUST NOT:

  • Create, toggle, update, or delete flags
  • Assess whether a flag is safe to remove, stale, or ready for cleanup
  • Provide a "verdict", "safe to remove" conclusion, removal steps, or "before removing" advice
  • Offer to archive or delete the flag

When the user asks about removal or staleness, your entire response for that part must be the flag summary table followed by this exact routing message (you may rephrase slightly but must keep the substance):

This quick lookup can only show you the flag's current config. To assess whether it's safe to remove, you need the flag discovery or flag cleanup skill — they scan code references, check status across all environments, and analyze downstream dependencies.

That's it. No analysis. No bullet points. No verdict. The removal question is answered by the routing message, not by you.

Prerequisites

This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment.

Required MCP tools:

  • list-flags — search and disambiguate flag candidates
  • get-flag — fetch detailed configuration for a resolved flag

Optional MCP tools:

  • get-flag-status-across-envs — compare lifecycle status across environments
  • get-flag-health — quick health snapshot for a single flag

Command Contract

Treat these forms as equivalent intents:

  • /flag <query>
  • flag <query>
  • "find flag <query>"
  • "show me <query> flag"

Use production as the default environment unless the user specifies another environment.

Workflow

Step 1: Parse and Normalize Input

  1. Extract the query text after /flag.
  2. If no query is provided, ask for one concise identifier (flag key, name fragment, or tag).
  3. Capture optional hints from the request:
    • Environment (staging, production, etc.)
    • Project key
    • Preference for exact key vs fuzzy search

Step 2: Resolve the Flag

Use list-flags first unless the user clearly provided an exact key and project.

  1. Search with list-flags using the query.
  2. If one clear exact match exists, resolve to that flag.
  3. If multiple plausible matches exist, return a short disambiguation list (key + name + state) and ask the user to pick.
  4. If no matches exist, tell the user and suggest one broader query.

Step 3: Return a Useful Summary

For a resolved flag, call get-flag and return:

  1. Flag key and name
  2. Environment state (on/off)
  3. Off variation and fallthrough behavior
  4. Rule/target complexity (simple vs complex)
  5. Direct LaunchDarkly URL for the flag (when project + key are known)

If the user asked about removal, staleness, or cleanup (e.g., "is this safe to remove?", "can I clean this up?", "is this stale?"):

Show ONLY the summary table above, then write:

This quick lookup can only show you the flag's current config. To assess whether it's safe to remove, you need the flag discovery or flag cleanup skill — they scan code references, check status across all environments, and analyze downstream dependencies.

Do not add a verdict, bullet-point analysis, removal steps, "before removing" checklist, or an offer to archive/delete. The removal question is fully answered by the routing message above. Proceed to Step 4.

Step 4: Route to the Right Follow-up Workflow

After returning the summary, check whether the user's request implies a deeper workflow. If it does, name the skill and stop — do not attempt the workflow yourself.

User intentRoute to
Create or modify a flagflag create skill
Change targeting or rolloutflag targeting skill
"Is this safe to remove?", "Is this stale?", cleanupflag discovery / flag cleanup

For removal/staleness questions specifically: follow the Scope Boundary instructions above — summary table only, then route. No verdict.

Output Style

Keep /flag responses brief and operational:

  • Start with the resolved flag (or disambiguation list)
  • Include only the minimum config details needed for the next action
  • End with one clear next step question when user intent is ambiguous

Important Context

  • /flag is a fast entrypoint, not a full lifecycle workflow.
  • Prefer disambiguation over guessing when multiple flags match.
  • Treat project + environment as first-class context; avoid hidden assumptions.
  • When sharing rollout percentages, always use human-readable percentages.
  • Never improvise removal, staleness, or cleanup analysis. Always route to the dedicated skill.