
fusion-framework-feature-toggling
Guides developers using Fusion Framework feature flags with MCP-backed framework retrieval first and bundled public-source fallback assets when MCP is unavailable. USE FOR: helping with enableFeatureFlag, enableFeatureFlagging, useFeature, rollout/cleanup guidance, and finding Fusion Framework feature-flag examples. DO NOT USE FOR: generic SaaS flag platforms, backend-only rollout systems, or inventing framework APIs.
- Installs
- 475
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/equinor/fusion-skills --skill fusion-framework-feature-toggling- 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 fusion-framework-feature-toggling 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.
Deprecated — This skill has been merged into
fusion-app-react-dev. Usefusion-app-react-devand its referencereferences/using-feature-flags.mdfor all Fusion Framework feature-flag guidance. This skill is retained for historical context only and will be removed in a future release.
Fusion Framework Feature Toggling
When to use
Use this skill when a developer needs grounded help with feature toggling in Fusion Framework.
Typical triggers:
- "Help me add a feature flag to a Fusion Framework app"
- "How do I use useFeature in Fusion Framework?"
- "Which Fusion Framework feature-flag API should I use here?"
- "Review this Fusion feature toggle setup"
- "How should I roll out and later remove this Fusion feature flag?"
When not to use
Do not use this skill for:
- generic LaunchDarkly or SaaS flag-platform setup
- backend-only rollout systems outside Fusion Framework
- inventing a new feature-toggle architecture without framework evidence
- non-Fusion React or frontend flagging guidance
Required inputs
Collect before responding:
- whether the work is app-level or framework-level
- the developer's goal: add, review, debug, roll out, or remove a flag
- the intended feature key or feature description
- whether the flag needs persistence, URL control, or a typed value
- any current code context that should be adapted
If important inputs are missing, ask only the smallest question needed to choose the right framework surface.
Instructions
-
Confirm the request is really about Fusion Framework feature toggling.
- If the request is generic flag-platform work, do not force this skill.
-
Use Fusion MCP first when it is available.
- Query
mcp_fusion_search_frameworkwith the user's wording plus feature-toggle terms such asfeature flag,feature toggling,useFeature,enableFeatureFlag, orenableFeatureFlagging. - If the first result set is weak, do one refinement pass.
- Use
mcp_fusion_search_docsonly when broader product guidance is needed beyond framework implementation details.
- Query
-
If Fusion MCP is unavailable or inconclusive, say so clearly and switch to the bundled fallback.
- Use references/public-framework-reference.md as the fallback source of truth.
- Use assets/offline-feature-toggle-checklist.md and assets/offline-prompt-template.md for users who do not have the server.
-
Identify which help shape the user needs.
- New flag setup: explain the configuration surface and show a minimal example.
- Component usage: explain
useFeature, toggle behavior, and value handling. - Review or rollout: apply the checklist and point out missing ownership, testing, or cleanup.
- Removal: identify the flag definition, consumers, and dead branches that should be deleted together.
-
Prefer the currently evidenced Fusion Framework entry points.
- App-level example:
enableFeatureFlag(appConfigurator, [...])from@equinor/fusion-framework-react-app/feature-flag. - Framework-level example:
enableFeatureFlagging(config, builder => ...)from@equinor/fusion-framework-module-feature-flag. - Plugin examples:
createLocalStoragePluginandcreateUrlPlugin. - Hook usage:
useFeature(key)in the app package, or the provider-baseduseFeature(provider, key)variant in the framework package.
- App-level example:
-
Call out public-source ambiguity instead of guessing.
- Public sources currently show both
readonlyandreadOnly; tell the user to verify the local type before finalizing code. - Public docs mention a future API-service direction for feature flags; do not present that as the current default unless live MCP or local code confirms it.
- Public sources currently show both
-
Give practical guidance, not just API names.
- Prefer stable enum or constant keys over ad hoc string literals.
- Include
titleanddescriptionwhen the flag is surfaced to users or reviewers. - Use
valueonly when behavior needs configuration in addition to on/off state. - Keep flags easy to remove, define an owner, and call out the cleanup trigger.
- Distinguish local app toggles from framework-wide or plugin-backed toggles.
-
Return a concise, evidence-backed answer.
- State whether the guidance came from Fusion MCP or the bundled fallback.
- Include the relevant package names and one concrete snippet or source path.
- Include rollout, testing, and cleanup guidance.
- End with any explicit uncertainty or verification step that still remains.
Representative requests
- "Help me add a feature flag to a Fusion Framework app."
- "How do I use useFeature in Fusion Framework?"
- "Review this Fusion Framework feature toggle setup and tell me what cleanup I am missing."
Expected output
Return:
- whether the guidance came from Fusion MCP or the bundled fallback
- the relevant Fusion Framework entry points and packages
- one concrete example snippet or source path to adapt
- a short implementation, rollout, and cleanup checklist
- explicit verification notes for any ambiguous API detail
References
- references/public-framework-reference.md
Assets
- assets/offline-feature-toggle-checklist.md
- assets/offline-prompt-template.md
Safety & constraints
Never:
- invent Fusion Framework packages, hooks, or module names
- pretend Fusion MCP results exist when the server is unavailable
- generalize SaaS feature-flag advice as if it were Fusion Framework behavior
- keep flags alive without calling out ownership and cleanup
Always:
- prefer Fusion MCP first, then the bundled public-source fallback
- separate confirmed framework APIs from general rollout guidance
- call out API or version ambiguity when public sources disagree
- keep examples small and easy to adapt
FAQ
What does the fusion-framework-feature-toggling skill do?
Guides developers using Fusion Framework feature flags with MCP-backed framework retrieval first and bundled public-source fallback assets when MCP is unavailable. USE FOR: helping with enableFeatureFlag, enableFeatureFlagging, useFeature, rollout/cleanup guidance, and finding Fusion Framework feature-flag examples. DO NOT USE FOR: generic SaaS flag platforms, backend-only rollout systems, or inventing framework APIs.
How do I install fusion-framework-feature-toggling?
Run npx skills add https://github.com/equinor/fusion-skills --skill fusion-framework-feature-toggling 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/fusion-framework-feature-toggling/ (personal) or .claude/skills/fusion-framework-feature-toggling/ (project).
Which AI agents can use fusion-framework-feature-toggling?
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 fusion-framework-feature-toggling 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 fusion-framework-feature-toggling?
It is published by equinor in equinor/fusion-skills. It has 475 recorded installs.
More from equinor/fusion-skills
fusion-issue-authoring
equinor/fusion-skills
Classify issue type, activate the matching agent mode for type-specific drafting, and enforce shared safety gates before GitHub mutation.
fusion-github-review-resolution
equinor/fusion-skills
Resolves unresolved GitHub PR review threads end-to-end: evaluates whether each review comment is correct, applies a targeted fix when valid, replies with rationale when not, commits, and resolves the thread. USE FOR: unresolved review threads, PR review feedback, changes requested PRs, PR review URLs (pullrequestreview-...), fix the review comments, close the open threads, address PR feedback. DO NOT USE FOR: summarizing feedback without code changes, creating new PRs, or read-only branches.
fusion-issue-solving
equinor/fusion-skills
Handles GitHub issue resolution end-to-end for prompts like "solve 123", "lets solve 123", "work on 123", "work on https://github.com/owner/repo/issues/123", or by pasting a direct GitHub issue URL as the request. USE FOR: solve 123, continue work on issue 123, work on https://github.com/owner/repo/issues/123, paste a GitHub issue URL for implementation work. DO NOT USE FOR: issue drafting only, PR review only, or non-implementation research.
fusion-code-conventions
equinor/fusion-skills
Applies and explains code conventions across TypeScript, React, C, and Markdown. Enforces naming rules, file naming patterns, TSDoc and XML doc standards, inline comment intent (the why, not the what), code structure, error handling, async patterns, and dead code policy. Also enforces ADR and contributor doc decisions, and flags decisions that appear stale or misaligned with current tooling. USE FOR: convention questions, code review against project standards, applying naming rules, auditing intent comments, checking TSDoc completeness, enforcing recorded ADR decisions, and flagging stale architectural decisions. DO NOT USE FOR: security vulnerability scanning, performance profiling, runtime debugging, or generating net-new code without a review target.
fusion-dependency-review
equinor/fusion-skills
Review dependency PRs with structured research, existing-PR-discussion capture, multi-lens analysis (security, code quality, impact), and a repeatable verdict template. USE FOR: dependency update PRs, Renovate/Dependabot PRs, library upgrade reviews, "review this dependency PR", "should we merge this update". DO NOT USE FOR: feature PRs, application code reviews, dependency automation/bot configuration, or unattended merge without confirmation.
fusion-mcp
equinor/fusion-skills
Explain what Fusion MCP is and guide users through setting it up when they need Fusion-aware MCP capabilities in Copilot workflows.
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