@supierior/ruleplementor
Pi skill package for strict TDD implementation and review workflows using project rules context.
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Pi skill package for strict TDD implementation and review workflows using project rules context.
Agents should invoke this skill for architecture reviews, module boundaries, dependency direction, coupling/cohesion, SOLID concerns, system design trade-offs, layering, service boundaries, or design decisions before implementation.
Use automatically when evaluating or applying Dolt, the Git-like version-controlled SQL database, for database branching, merging, diffs, audit history, rollback, or versioned MySQL replica workflows.
Agents should invoke this skill when choosing or evaluating libraries, frameworks, tools, platforms, models, databases, APIs, or architectures for a use case. Produces criteria scoring, ecosystem assessment, and recommendations.
Opinionated sub-agent router for Pi: tightly couples SKILL.md execution with the Augment Code (auggie) Context Engine.
Agents should invoke this skill when checking CVEs or known vulnerabilities in installed packages, dependencies, Docker images, OS packages, exposed services, or software versions. Produces severity-rated scan reports.
As minimal as Pi. Karpathy's LLM Wiki pattern as a minimal, agent-agnostic skill.
Pi, OpenCode, and OpenClaw native bootstrap integration for OKF Harness.
Inline skill tags with autocomplete for the Pi coding agent
Pi extension and skill package for using DesignMD Foundry as a design-contract tool surface.
Agents should invoke this skill for code reviews, linting/formatting setup, maintainability checks, complexity concerns, warning cleanup, coding standards, or quality gates in Rust, TypeScript, Python, shell, and mixed repos.
Handcrafted Agent Skills for browser-authenticated Jira and Confluence ingestion, LLM wiki workflows, and developer automation.
Fixed two-line status footer for pi with model, thinking, context, git, token, worktree, and skill indicators
A release-aware Agent Skill for terse commit messages using scope-first subjects and optional Conventional Commit metadata.
Superpowers workflow skills adapted for pi
Template for building Pi packages with extensions, Agent Skills, prompts, and themes.
File-based troubleshooting LEARNINGS archive for Pi agents, with retrieval workflow, summary prompts, and sync scripts.
Pi Coding Agent skills and extensions to work with RDF, SPARQL and other Linked Data technologies
The Thought Layer: rigor for building. Validate an idea, grill it into a buildable spec, then build and deploy it, inside the agent you already use. BYOK, no telemetry.
Pi extension package for GitLab workflows via glab CLI with in-package skills.
One portable agent-workflow kit — plan, build, review, verify, design, and ship — running identically on Claude Code, Codex, Cursor, and Pi.
Agents should invoke this skill for connectivity, DNS, Pi-hole, port reachability, routing, firewall reachability, TLS/network timeouts, or service access failures. Provides structured network troubleshooting commands and interpretation.
Manus-style file-based planning for Pi Coding Agent
Agents should invoke this skill for code security reviews, leaked secret checks, dependency risk, unsafe shell/Python/TypeScript/Rust patterns, auth/input-validation flaws, SAST-style audits, or supply-chain concerns in repositories.
Pi coding agent skill for checking CI/CD status from GitHub check runs, workflow runs, branches, PRs, commits, and releases
Agents should invoke this skill when choosing patterns, designing traits/interfaces/components, deciding abstraction boundaries, evaluating dependency injection/callbacks, or comparing implementation approaches in Rust, TypeScript/React, or Django/Python.
Agents should invoke this skill when identifying, categorizing, prioritizing, or planning technical debt work, debt sprints, cleanup backlogs, TODO consolidation, or long-term maintainability risks. Tracks debt with severity/effort.
Adversarial post-execute evaluation skill for pi — verifies implementation against contract, GAN-inspired
Agents should invoke this skill for slow code, high CPU/memory, latency, large data processing, algorithmic complexity, profiling plans, benchmarks, or optimization requests. Profiles first and weighs trade-offs before changing code.
Agents should invoke this skill for refactors, code smells, migrations, duplication removal, module splitting, API cleanup, or restructuring plans. Emphasizes small safe steps, behavior preservation, and verification after each change.
Agents should invoke this skill as the final gate before release, handoff, or claiming completion for substantial changes. Runs acceptance/readiness checks, determines pass/fail, and gives a go/no-go recommendation.
Six durable skill chains for pi — release, feature-ship, onboard, bughunt, migrate, and research — multi-phase workflows that pass state through a file on disk so they survive across sessions, each leveraging pi-fairy-tales capabilities.
A minimal tmux-based task manager for agents, with skills and notifications only.
Autonomous security testing harness for pi-mono. Expert hacker persona, hypothesis-tree REPL, tool auto-install, pipeline chaining, 30+ bug-bounty tools, self-evolving skills. Find vulnerabilities, chain exploits, write PoC reports. Authorized testing onl
This extension is useful for making agent skills, propmts and subagents
Use when evaluating, implementing, reviewing, or debugging Shoo auth (shoo.dev) Google sign-in in browser apps, including @shoojs/react, @shoojs/auth, hosted shoo.js, Convex custom JWT integration, PKCE callbacks, session checks, and server-side id_token
Agents should invoke this skill for Linux server security reviews, SSH hardening, firewall/open-port audits, user/permission checks, exposed services, or host hardening requests. Produces severity-rated findings and practical remediation steps.
Superpowers skills library for Pi: TDD, debugging, collaboration workflows with Chinese trigger support
KiCad CAD-design extension for Pi — drive schematic capture and PCB layout via the Konnect binary over a local HTTP daemon (no MCP SDK).
Claude Code-style /usage panel for pi — Pi-chan navigation, seven views, 5H/weekly quota, attribution by model/skill/bundle/plugin/tool/project, Wrapped year-in-review with monthly heatmap, multi-skill + bundle tracking, live upstream quotas (ZAI, OpenAI
Introspection dashboard for the pi coding agent — tools, slash commands, skills, and the system prompt injected on init.
Agents should invoke this skill for academic or technical papers, arXiv/PubMed/IEEE/ACM links, PDFs, methodology review, limitations, practical implications, or extracting findings for engineering decisions.
Control model and direct user access for every Skill discovered by Pi
Agents should invoke this skill for Docker Compose deployments, container updates, stack health checks, rollbacks, compose-file changes, image upgrades, failed deploys, or service restart planning. Provides safe deployment and rollback workflows.
Pi package for browsing packages, skills, extensions, prompts, and themes
Agent Booster Pack for Pi: skills + Interface Design Gate runtime + proof-first runtime + whiteboarding guard + final value guard, in one install. Meta-package; depends on the four siblings.
Agents should invoke this skill when comparing competing products, services, libraries, tools, vendors, or approaches for market/product positioning, feature matrices, strategic trade-offs, pricing, adoption, or differentiation.
Personal collection of Pi extensions, themes, and skills.