Base Analítica
Official@Base-Analitica
Base Analítica provides spec-driven development, disciplined engineering practices, and frontend design intelligence skills for structured feature delivery.
Agent Skills by Base Analítica
Showing 36 vetted skills indexed across 1 GitHub repositories.
speckit-checklist
Generate requirements-quality checklists for spec-kit feature specifications.
ui-ux-pro-max
Searches local UI/UX datasets to generate design systems, palettes, typography, and stack-specific guidelines.
using-git-worktrees
Creates isolated git worktree workspaces with native tool detection and baseline test verification.
token-efficient-shell
Compress verbose shell command output using the project-local RTK wrapper.
test-driven-development
Enforces red-green-refactor test-driven development workflow before writing production code.
systematic-debugging
Diagnose bugs through a four-phase root cause investigation process before proposing fixes.
impeccable
Designs, critiques, audits, and refines frontend interfaces across web and native platforms.
speckit-constitution
Creates or updates the project constitution in Spec Kit repositories.
using-superpowers
Enforces skill discovery and invocation before any agent response or action.
dispatching-parallel-agents
Dispatches concurrent subagents to fix independent test failures across separate problem domains.
speckit-implement
Executes implementation plans by processing all tasks defined in tasks.md.
semantic-code
Query Python symbol overviews, definitions, and references through a local Serena MCP bridge.
speckit-converge
Assess codebase against spec, plan, and tasks, then append remaining work to tasks.md.
ponytail
Enforces minimal, standard-library-first solutions for coding tasks with adjustable intensity levels.
find-skills
Searches and installs agent skills from the open skills ecosystem using the npx skills CLI.
speckit-taskstoissues
Convert spec-kit tasks into deduplicated GitHub issues in dependency order.
executing-plans
Executes written implementation plans with review checkpoints and verification steps.
finishing-a-development-branch
Guides merging, pushing, or preserving a completed development branch after tests pass.
speckit-clarify
Identify and resolve ambiguities in feature specifications through targeted clarification questions.
ponytail-audit
Audits an entire codebase for over-engineering and ranks deletable or simplifiable code.
speckit-plan
Generates implementation plans and design artifacts from feature specifications.
speckit-analyze
Analyze spec.md, plan.md, and tasks.md for cross-artifact consistency and coverage gaps.
ponytail-help
Displays a quick-reference card of ponytail modes, skills, and commands.
brainstorming
Guides collaborative design exploration and spec writing before any implementation begins.
Frequently Asked Questions About Base Analítica
FAQPage SchemaWhat tasks can I accomplish with Base Analítica's skills?▼
You can run spec-driven feature delivery (specify, clarify, plan, tasks, implement, analyze, converge), enforce test-driven development and systematic debugging, execute plans with review checkpoints, audit codebases for over-engineering, and design or critique frontend interfaces with typography, color, and accessibility guidance.
Who are these skills designed for?▼
Software engineers and frontend developers who want disciplined workflows: spec-kit users managing feature specs, developers practicing TDD and verification-before-completion, reviewers hunting over-engineering and bloat, and designers or engineers building accessible, responsive web, mobile, and desktop interfaces.
What are the prerequisites for using these skills?▼
The nine speckit-* skills require a spec-kit project structure containing a .specify/ directory. The semantic-code skill uses local Serena for symbol lookup on Python sources, and token-efficient-shell uses project-local RTK. Other skills like brainstorming, TDD, and ponytail run without special project setup.
Are these skills open source and what do they cost?▼
The skills are free to use. The impeccable skill is licensed under Apache 2.0, ponytail under MIT, and frontend-design ships with terms in its own LICENSE.txt. The speckit skills originate from github-spec-kit templates. No paid tiers or usage fees are indicated in the manifest.
How do the ponytail skills simplify my codebase?▼
Ponytail forces the laziest working solution: standard library before custom code, native features before dependencies. Ponytail-review scans diffs for over-engineering, ponytail-audit ranks deletions across a whole repo, and ponytail-debt harvests deferred shortcuts into a tracked ledger. Intensity levels: lite, full, ultra.