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Found 33 Skills
Design professional, modern logos with automatic project context detection. Use when users ask to "create a logo", "design a logo", "generate brand identity", "make a favicon", or need visual brand assets. Analyzes project files (README, package.json, etc.) to understand product name, purpose, and existing brand colors before generating logo concepts.
Initialise a project's App Store Connect context using the `asc init` command. Use this skill when: (1) Saving app context to a project directory: "asc init", "pin my app ID", "set up project context" (2) Auto-detecting the app from an Xcode project: user says "run asc init in my project folder" (3) Searching by app name: "asc init --name 'My App'" (4) Explaining what .asc/project.json is used for (5) Reading saved project context to avoid running asc apps list every session
Propose a new spec-driven change. Scaffolds proposal.md, design.md, tasks.md, and questions.md for a named change, populated with project context.
The project's all-seeing guide. Sentinel MUST activate before Claude takes any action that modifies, creates, or deletes anything in the project. It understands the codebase, architecture, brand, design system, business model, deployment pipeline, testing strategy, and every convention. Trigger on: action requests (build, fix, add, change, update, refactor, implement, create, remove, delete, migrate, deploy, integrate, improve, configure, install, bump, upgrade, debug, troubleshoot, move, rename); casual requests (can you, I need to, let's, go ahead and, help me, we need to); status reports (X is broken/failing, there's a bug); project questions (how does X work here, where would I add, walk me through); planning (scope this, break this down, write a spec). Do NOT trigger on general knowledge, blog posts, interview prep, or tech comparisons for other projects. Key test: does this need THIS project's context? If yes, trigger. Sentinel guides Claude, it does not execute. No task is too small.
Resume work from previous session with full context restoration
AI SDLC evidence-backed project context and bounded task-pack workflow. Use when an AI assistant needs to onboard to a repository, detect stack and commands, map ownership and test topology, check context drift, conditionally select task sources, exclude secrets, or allocate a freshness-aware context pack within an explicit token budget. Supports `--quick-flow` for focused evidence and `--full-flow` for stricter repository coverage.
Context management skill providing discovery, fetching, harvesting, extraction, compression, organization, cleanup, and guided workflows for project context
Structured clarification and requirements gathering through focused dialogue. Use when a task is ambiguous, underspecified, or requires user input before any action can be taken. Do not plan or implement anything—only ask questions to collect the information needed. Triggers on: 'ask me', 'ask questions about', 'clarify requirements', 'gather requirements', 'I need you to ask', or when the user explicitly wants a question-and-answer session before work begins.
Gather project context before drafting an ADR — business domain, system landscape, existing ADRs, related repos, LikeC4 model. Run BEFORE draft-adr when the architect is new to the system or context is thin. Back-and-forth Q&A with zero hallucination; every fact confirmed by the human before it counts.