paiml

Generates comprehensive, LLM-optimized codebase context using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - Starting work on unfamiliar codebases - Onboarding to new projects or repositories - Need quick understanding of project…

Analyzes polyglot codebases with multiple programming languages using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - Working with projects containing multiple programming languages - Assessing cross-language integration patterns and…

Analyzes code quality, complexity, and technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User mentions "code quality", "complexity", "technical debt", or "maintainability" - Reviewing code or conducting code review -…

Provides automated refactoring suggestions and complexity reduction strategies using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User requests code refactoring, optimization, or improvement - Complexity analysis reveals high-complexity…

Tracks and manages technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User asks about technical debt, TODO comments, or code quality issues - Planning sprint work and need to prioritize debt repayment - Conducting code…

Implementation blueprint from spike experiments — SEP-2640 Skills support AND the schema-server toolkit lift (config-driven MCP servers for SQL / GraphQL / OpenAPI backends). Requirements, proven patterns, multi-dialect SQL connector trait, two-axis Skills…

Help a developer design a config.toml for a PMCP schema-server toolkit deployment, applying the Pareto principle to curated tools and code-mode policy.

Generate validated GraphQL queries against this server's schema

Demonstrates the simplest possible MCP skill

Process customer refund requests per company policy

Dogfood the aprender release surface — derive every interface from the built binaries, measure gate coverage against the surface ledger, exercise the covered set, and emit a go/no-go receipt

Sovereign-stack PRE-RELEASE protocol. Run this BEFORE generating a GitHub or crates.io release of any Rust crate in the fleet (copia, forjar, pmat, trueno, aprender, …). It runs every local release gate (fmt, clippy, tests, ≥95% coverage, cargo-deny, provable…

Pre-release QA for apr-cli — runs all gates that prevent crates.io publish breakage

Find which provable-contracts YAML contracts a Hugging Face model needs, create missing contracts, generate Rust artifacts, and implement all stubs. Triggers on: "find contracts", "contract coverage", "what contracts does X need", "which contracts for", HF…

Systematic coverage gap analysis and test writing for the APR Model QA Playbook. Uses pmat query --coverage-gaps for highest-ROI targets, provides test patterns for each crate (proptest for gen, Evidence assertions for runner, MQS scoring for report), handles…

Diagnoses and fixes G0-G4 gateway failures in model qualification runs. Interprets MQS zero-scores, evidence JSON, and stderr output. Covers LAYOUT-002 violations, config.json mismatches, garbage detection, crash analysis, and all 5 contract invariants (I-1…

Guides end-to-end HuggingFace model certification: playbook creation from templates, running qualification at any tier (Smoke/MVP/Quick/Standard/Deep), collecting evidence, computing MQS scores with G0-G4 gateways, updating models.csv, and syncing the README…

Dogfood forjar — rebuild, install, exercise every command, prove the C1–C10 claims and contracts against a sandboxed stack, check quality, file bugs

QA the installed apr CLI binary — pull a model, test every subcommand, hunt for bugs, file GitHub issues. Use when asked to QA apr, test apr, or check apr-cli.