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launchdarkly-flag-targeting

Control LaunchDarkly feature flag targeting including toggling flags on/off, percentage rollouts, targeting rules, individual targets, and copying flag configurations between environments. Use when the user wants to change who sees a flag, roll out to a percentage, add targeting rules, or promote config between environments.

72

Quality

88%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-structured, actionable skill that provides clear guidance for managing LaunchDarkly feature flag targeting. Its strengths are the concrete decision table, explicit 5-step workflow with validation checkpoints, and good handling of edge cases like approval-required environments. Minor weaknesses include some redundancy (approval workflow details appear both inline and referenced), slight verbosity in the introductory framing, and the inability to verify referenced bundle files exist.

Suggestions

Trim the introductory sentence and the 'Core Concept: Evaluation Order' section to be more concise—Claude understands flag evaluation semantics and this could be reduced to a brief reminder or moved to a reference file.

Remove the duplicated approval workflow details from the main body since they're already referenced in approval-workflows.md—keep only a brief pointer in the workflow steps.

DimensionReasoningScore

Conciseness

The content is mostly efficient but includes some unnecessary explanation. The 'Core Concept: Evaluation Order' section explains something Claude likely already knows about LaunchDarkly's evaluation model. The introductory sentence ('You're using a skill that will guide you through...') is filler. However, most of the content is purposeful and well-structured.

2 / 3

Actionability

The skill provides concrete tool names, specific parameter values (e.g., `on: true`, `rolloutType: "percentage"`), a clear decision table mapping user intent to tools, and explicit verification steps. The guidance is specific enough to be directly executable via MCP tools.

3 / 3

Workflow Clarity

The 5-step workflow is clearly sequenced with explicit validation checkpoints (Step 1: understand state, Step 3: safety checklist, Step 5: verify with get-flag). It includes feedback loops for approval-required environments and error recovery paths. The safety checklist before applying changes is a strong validation checkpoint for production-impacting operations.

3 / 3

Progressive Disclosure

The skill references three external files (targeting-patterns.md, safety-checklist.md, approval-workflows.md) with clear navigation links, which is good structure. However, no bundle files were provided, so we cannot confirm these references actually exist. Additionally, some content that could be in references (like the approval workflow details in 'Handling Approval-Required Environments') is duplicated inline, and the evaluation order section could arguably be in a reference file.

2 / 3

Total

10

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is an excellent skill description that clearly articulates specific capabilities (toggling, rollouts, targeting rules, individual targets, config copying), includes a well-formed 'Use when' clause with natural trigger phrases, and is highly distinctive due to the LaunchDarkly platform specificity. It follows the third-person voice convention and is concise without being vague.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: toggling flags on/off, percentage rollouts, targeting rules, individual targets, and copying flag configurations between environments.

3 / 3

Completeness

Clearly answers both 'what' (control LaunchDarkly feature flag targeting including toggling, rollouts, targeting rules, individual targets, copying configs) and 'when' (explicit 'Use when' clause with specific trigger scenarios like changing who sees a flag, rolling out to a percentage, promoting config).

3 / 3

Trigger Term Quality

Includes natural keywords users would say: 'feature flag', 'toggling flags on/off', 'percentage rollouts', 'targeting rules', 'roll out to a percentage', 'promote config between environments', 'LaunchDarkly'. These cover common variations of how users would describe these tasks.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with clear niche: LaunchDarkly feature flag targeting operations. The combination of the specific platform (LaunchDarkly) and specific operations (targeting, rollouts, flag config promotion) makes it very unlikely to conflict with other skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
launchdarkly/ai-tooling
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.