All authors
GentBajko avatar

Claude Skills by GentBajko

github.com/GentBajko
17 skillsA× 170 installs0 views
ArchitectureA

Use when designing a new/greenfield project's architecture - exhaustive persisted one-question-at-a-time interview, then the full prescriptive reference.

ai-agents
0
2
BuildA

Use when turning a finished capstone design into working code - researches how the chosen stack connects, writes an implementation plan (backend first, then frontend), gates on user approval, then writes the code in subagents or inline, whichever you pick.

ai-agentsfrontendbackend
0
2
CoreA

Internal to the capstone suite - carries the shared rules (references/) and scripts every capstone subcommand reads; it exists so npx-skills installs ship them alongside the command skills. Not meant to be invoked directly; when invoked anyway, run references/../scripts/help.sh and output its stdout verbatim.

ai-agentsbash
0
2
DoctorA

Use when the capstone docs area needs a consistency check or repair - torn writes, done markers without ledger entries, voided plan approvals, index rows pointing at missing files, absorption gaps - reports findings with their owning rules, then applies only the repairs the user approves.

ai-agents
0
2
FeatureA

Use when the user wants one feature taken from idea to working code - "add a feature", "build X end to end", "take X from idea to shipped" - runs the feature chain groom -> plan -> implement consecutively, detecting the feature's stage and resuming at the first incomplete one. For the whole-product greenfield pipeline use start; to execute an already-approved plan use implement.

ai-agents
0
2
GroomA

Use when starting work on a feature or change for a project that already has capstone docs - "new feature", "add a feature", "implement X", "build X", "design a feature", "spec it out", "flesh out", "refine this idea", "let's work on X" - a doc-grounded one-question-at-a-time interview producing a traceable feature spec in docs/capstone/features/, the first stage of the feature chain before plan and implement. Not whole-product discovery (mockup), not the greenfield pipeline (start); to carry...

ai-agents
0
2
HelpA

Use when asked what the capstone plugin can do - prints the usage block.

ai-agentsbashgit
0
2
ImplementA

Use when an approved feature plan is ready to become code - executes plan.md task by task with verification, in subagents or inline as you pick, reviews the diff recursively until no new findings survive, then refreshes the affected reference chapters.

ai-agents
0
2
LogicA

Use when pinning down an app's business logic scenario by scenario - triggers, exact rules, branches, unhappy paths, state transitions, invariants - via a depth-first interview, one file per scenario in docs/capstone/logic/.

ai-agents
0
2
MapA

Use when asked to build, refresh, update, or check a codebase's architecture reference docs - "map the codebase", "document this repo", "are the docs current", "bring the docs in line with the code" - writes a docs/capstone/ index plus topic chapters, the logic/ business-logic map and the uiux/ surface map, then on later runs rewrites only the files whose covered paths drifted. One verb for both - no reference yet means build it, an existing one means refresh it. "map check" is the read-only ...

ai-agentsrust
0
2
MockupA

Use when defining a new product idea - adaptive purpose/business-plan/scenarios interview persisted to a file, then a traceable markdown mockup.

ai-agents
0
2
PlanA

Use when a groomed feature spec needs an implementation plan - studies the chapters the spec cites, writes a task-by-task TDD plan an engineer with zero context could execute, gated on user approval.

ai-agents
0
2
ReviewA

Use when asked for an opinionated review of the codebase - architecture/backend findings, UI findings against the project's own design docs, or both - severity-ranked with evidence, written to docs/capstone/review.md. Bare "review" does both sides; "review backend" or "review frontend" does one. Opt-in judgment; never edits code.

ai-agentsfrontendbackend
0
2
StackA

Use when picking the concrete libraries, packages, and paid services for a designed project - researches current options per capability, presents pros/cons/license/pricing, and records the user's picks into the dependencies chapter.

ai-agents
0
2
StandardsA

Use when capturing how code must be written in this project - typing strictness, library-vs-build posture, paradigm, error handling, testing style, git and commit discipline, and what an AI assistant must never do here - via an interview, producing a normative standards doc that outranks generic best practice. Binding rules you decided, not a description of what the code currently does; the observed conventions live in the reference's own conventions chapter.

ai-agentstestinggit
0
2
StartA

Use when the user says just "capstone" with nothing else, or asks to start or continue the capstone pipeline - runs the greenfield chain one stage at a time (mockup -> logic -> uiux -> architecture -> standards -> stack -> build), detecting completed stages and resuming at the first incomplete one.

ai-agents
0
2
UiuxA

Use when deciding how the product's UI should look and how its UX should behave, from the mockup and logic docs - visual direction, design system, and per-screen design chapters via an interview, using capstone's own vendored design method.

ai-agents
0
2