foundryside-marketplace

Use when drafting, revising, critiquing, or planning prose fiction or creative nonfiction, especially when author voice, continuity, genre expectations, or truth claims need deliberate treatment.

1 skill · 3 commands · 11 agents

Use when documentation accuracy, executable procedures, institutional register, sensitive information, or source-to-document traceability needs deliberate review.

2 skills · 4 commands · 5 agents

Use when reconstructing an existing codebase: source-linked architecture, dependency and risk findings, coverage limits and incremental refresh.

1 skill · 5 commands · 4 agents

Use for Rust-specific ownership/API, async cancellation, unsafe/FFI soundness, feature/toolchain compatibility, diagnostics, packaging or profiling problems in a real crate.

1 skill · 5 commands · 3 agents

Use when an organization explicitly selects a software governance profile requiring lifecycle evidence, traceability, risk decisions or measurement.

5 skills · 4 agents

Use when test reliability, isolation, coverage gaps, performance experiments, resilience, or release evidence needs investigation or a concrete verification strategy.

1 skill · 5 commands · 3 agents

Use when reviewing an implementation plan for source accuracy, missing dependencies, failure paths or acceptance evidence.

2 skills · 1 command · 5 agents

Use for Python-specific compatibility, type/lint repair, cancellation/resource handling, profiling, packaging or Textual lifecycle issues that need focused checks against a real project.

1 skill · 4 commands · 3 agents

Use when making or reviewing system design choices against measurable requirements, alternatives, migration constraints and source evidence.

1 skill · 5 commands · 2 agents

Use when experiment records need ontology interoperability, verified EXPO/SUMO/BFO/PROV mappings, executable competency questions or auditable description. Do not activate for ordinary experiment execution.

1 skill · 4 commands · 2 agents

Use when designing or reviewing application interfaces, audience needs, interaction flows, accessibility, or AI surfaces across web, mobile, desktop, and games.

1 skill · 3 commands · 3 agents

Use for optional staged synthetic reader reviews: precommitted expectations, controlled exposure and evidence-linked hypotheses requiring human validation.

1 skill · 3 commands · 3 agents

Use when related documents need explicit source lineage, audience-specific derivatives, claim consistency, reading paths, or controlled change propagation.

1 skill · 4 commands · 2 agents

Use when decisions require verifiable provenance, tamper-evident exports, or defensible retention and replay limits. Ordinary application logging does not require this workflow.

1 skill · 3 commands · 2 agents

Use when typed records cross subsystem authority boundaries and absence, meaning changes, blinded views, or derived decisions must remain explicit and reproducible.

1 skill · 3 commands · 2 agents

Use when past stateful execution must be reproduced or investigated: RNG isolation, snapshots, external-effect substitution, scheduling, rollback or first-divergence localization.

1 skill · 3 commands · 2 agents

Use when building or fixing delivery and operations: artifact identity, rollout health, rollback/restore evidence, infrastructure and runtime reliability.

1 skill · 3 commands · 2 agents

Use when multiple processes or failure domains must remain correct through crashes, partitions, retries, duplicates, clock changes or overload.

1 skill · 3 commands · 2 agents

Use when SQLite or DuckDB application behavior depends on connection configuration, write concurrency, atomic claims, migrations, backup/restore, FTS or query/storage boundaries.

1 skill · 3 commands · 2 agents

Use when designing or reviewing MCP server surfaces: model-visible capability contracts, host negotiation, retries, authorization, bounded output and real task evaluation.

1 skill · 3 commands · 2 agents

Use when designing or reviewing procedures, runbooks or interactive flows whose stages, decisions and handoffs must be correct for a particular audience.

1 skill · 3 commands · 2 agents

Use when deciding product value or maintaining product ownership across sessions: durable state, decision provenance, falsifiable acceptance and authority.

1 skill · 3 commands · 2 agents

Use when building analyzers or rules whose traversal, abstract domain, unknown-call handling, termination, incremental cache or findings output must have explicit guarantees.

1 skill · 3 commands · 2 agents

Use when tensor lowering/transforms, torch.fx/compile capture, numerical tolerances, artifact identity or cache behavior need reference-versus-compiled conformance checks.

1 skill · 3 commands · 2 agents

Use when implementing or reviewing production API behavior: authorization, compatibility, transaction boundaries, retries, bounded results and contract tests.

1 skill · 3 commands · 2 agents

Use when inventing, diagnosing, repairing, balancing, or playtesting games across digital, tabletop, live, physical, educational, asynchronous, or hybrid media.

1 skill · 3 commands · 2 agents

Use when game simulation needs a fidelity/LOD decision, engine implementation, frame-budget evidence or desync diagnosis.

1 skill · 3 commands · 2 agents

Use when gameplay depends on interacting mechanics, player experimentation, optimization, emergent stories or a modding ecosystem.

1 skill · 3 commands · 2 agents

Use when building or reviewing interactive terminal applications, especially capability detection, rendering, input/focus, terminal restoration, accessibility, and cross-environment behavior.

1 skill · 3 commands · 2 agents

Use when system trust boundaries, threat models, control verification, AI/tool privileges, supply-chain assurance, classified information flows, or authorization evidence need design or review.

1 skill · 3 commands · 2 agents

Use when paired or branched ML experiments need uncertainty estimates, grouped splits, selection-bias controls, power analysis, or abstention calibration.

1 skill · 3 commands · 2 agents

Use when reinforcement-learning environment, reward, data-regime, algorithm or evaluation decisions need implementation checks.

1 skill · 3 commands · 2 agents

Use when an LLM application needs model/configuration evaluation, retrieval, context/cost controls, fine-tuning, tool reliability or safety checks.

1 skill · 3 commands · 2 agents

Use when a model or ML dataset must be released, served, monitored or recovered with operational evidence.

1 skill · 3 commands · 2 agents

Use when neural architecture families or components must be compared against data, quality, compute, latency or adaptation constraints.

1 skill · 3 commands · 2 agents

Use when PyTorch code has tensor/gradient, checkpoint, AMP, compile, distributed, memory or profiling obligations.

1 skill · 3 commands · 2 agents

Use when a simulation needs numerical-model, integration, stability, control, stochastic or determinism checks.

1 skill · 3 commands · 2 agents

Use when a generator emits typed graph/program candidates and needs legality, canonical identity, diversity or search-space checks.

1 skill · 3 commands · 2 agents

Use when recurring interventions, feedback, delays or accumulation need a causal model and evidence-backed comparison.

1 skill · 3 commands · 2 agents

Use when a training run needs evidence about convergence, objective, gradients, regularization, search budget, batch or precision strategy.

1 skill · 3 commands · 2 agents

Use when coordinating delivery across workstreams with real dependency agreements, risks, capacity limits and evidence-based forecasts.

1 skill · 2 commands · 2 agents

Use when a PyO3 extension needs safe ownership/lifetimes, array exchange, thread attachment, async cancellation, interpreter teardown, wheel compatibility or measured FFI performance.

1 skill · 3 commands · 1 agent

Use when multi-crate Cargo composition, feature unification, workspace policy inheritance, internal/public APIs, publishing order or target-specific test subsets cause concrete problems.

1 skill · 3 commands · 1 agent

Use when an RL controller decides when or how to change neural-network topology and needs governor, rollback, replay or fair-evaluation checks.

1 skill · 2 commands · 2 agents

A plugin for stuff

2 skills · 1 command · 1 agent

Use when a neural network grows, prunes, composes modules or adapts across tasks and needs lifecycle, gradient-isolation or state-integrity checks.

1 skill · 2 commands · 1 agent

Use when building or maintaining static developer-tool, open-source, or documentation sites, including navigation, versioned URLs, code examples, theming, and build or deployment pipelines.

1 skill · 1 command · 1 agent

Use when producing or validating Pandoc/Typst documents, reusable templates, print-ready PDFs, multilingual layouts, or accessible publication artifacts.

1 skill · 1 command · 1 agent

Use when reviewing, simplifying, extending, or validating this marketplace’s plugins, skills, commands, agents, references, hooks, or packaging.

1 skill