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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 skill with strong workflow clarity and actionability. The 5-step process with safety checks and verification is excellent for a potentially destructive operation like flag targeting changes. The main weaknesses are some unnecessary explanatory content that could be trimmed and the inability to verify referenced files exist, though the progressive disclosure structure is sound in design.

Suggestions

Trim the 'Core Concept: Evaluation Order' section to a brief numbered list without the explanatory paragraph at the end—Claude understands precedence/priority concepts.

Remove the opening sentence ('You're using a skill that will guide you through...') and the 'Assess complexity' sub-step, which describes reasoning Claude can do implicitly.

DimensionReasoningScore

Conciseness

The skill is mostly efficient but includes some unnecessary explanation that Claude would already know, such as the detailed explanation of evaluation order concepts and some of the workflow preamble. The opening sentence 'You're using a skill that will guide you through...' is unnecessary framing. However, the table and structured steps are well-organized and not excessively verbose.

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 specific instruction types for each tool. While there aren't full code blocks, this is an MCP tool-based skill where the actionable guidance is tool invocations with parameters, which are clearly specified.

3 / 3

Workflow Clarity

The 5-step workflow is clearly sequenced with explicit validation checkpoints: fetch before changing (Step 1), safety checklist before applying (Step 3), and verify after applying (Step 5). The approval workflow includes a clear feedback loop (create request → check status → apply when approved → verify). Error recovery for approval-required environments is well-documented.

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 verify these references exist. Additionally, some content that could be in references (like the evaluation order section and the detailed approval workflow handling) is inline, making the main file longer than necessary.

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 unnecessary padding.

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 copying) 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.