Use the token-optimizer MCP tools to reduce context/token usage when reading, searching, or editing files, or when the context window is filling up. Trigger when reading large files, re-reading files already seen, searching a big/unknown tree, making edits to large files, or when you need to store bulky output…
This skill should be used when the user asks to "define a feature", "create a BaseFeature class", "track feature versions", "set up metadata store", "field-level lineage", "FieldSpec", "FeatureDep", "run metaxy CLI", "metaxy migrations", "metaxy lock", "lock features", "external features", "multi-environment"…
Effectively use Narwhals to write dataframe-agnostic code that works seamlessly across multiple Python dataframe libraries. Write correct type annotations for code using Narwhals.
Use syrupy for pytest snapshot testing to ensure the immutability of computed results, manage snapshots, customize serialization, and handle complex data structures with built-in matchers and filters.
Analyzes a Delphi / Object Pascal codebase to extract unit-level uses dependencies. Use when the user uploads a zip / archive of a Delphi project (or a folder of .pas / .dpr / .dpk files) and asks for a dependency graph, architecture map, cycle detection, fan-in / fan-out coupling analysis, or wants to know how units…
Comprehensive guide for Redis state management including caching strategies, session management, pub/sub patterns, distributed locks, and data structures.
Assesses whether an existing Python, bash, or hybrid pipeline is a good fit for Seamless (content-addressed caching, reproducible execution, local-to-cluster scaling). Triggers when wrapping scripts or functions without rewriting them, avoiding recomputation, comparing workflow frameworks (vs Snakemake, Nextflow, CWL…
Use when creating, porting, or debugging Seamless pipelines from Python, bash, or existing workflow systems; selecting the active concern in a staged non-linear Seamless port; designing referentially transparent DAGs; wrapping steps with direct/delayed transformers or seamless-run; validating Seamless contract…
Guides AI agents through debugging failures in Seamless remote execution (hashserver, database, jobserver, daskserver). Covers the multi-service topology, error propagation across repos, finding server-side logs and PID files, restarting services cleanly, and clearing caches to prevent false passes. Triggers when a…
One-shot configurator that wires graft into a CLAUDE.md (global or project-local) so the agent uses the persistent memory consistently in every session. Asks the user 4 short questions (scope, caching, retrieve strategy, save strategy), then writes a … block into the chosen CLAUDE.md. Triggered by /graft-init…
Persistent graph memory across conversations. The master skill — search BEFORE answering non-trivial questions, save AFTER solving non-obvious ones. Three companion skills handle the heavy lifting: /memoryze (save with smart granularity), /recall (escalating search query→retrieve→explore), /memory-audit (read-only…
Batch knowledge ingestion from external sources (a folder, a codebase, a docs tree, a set of files). Plans the ingestion as a list of well-shaped nodes with reconciled keywords, shows the user the plan for approval, then executes idempotently. Triggered by /learn, "ingest this folder into memory", "porta questo codice…
Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini…