> ## Documentation Index
> Fetch the complete documentation index at: https://docs.qredence.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Qredence Skills and Fleet Reasoner changelog

> Weekly release notes for Qredence Skills, the Figma agent skills catalogue, and Fleet Reasoner, the Qlaw reasoning engine built on DSPy.

Track what's new for [Qredence Skills](https://docs.qredence.ai/skills/introduction.md) and [Fleet Reasoner](https://docs.qredence.ai/fleet-reasoner/introduction.md). See [all changelogs](https://docs.qredence.ai/changelog/overview.md) for all products.

**August 9, 2026**

## Week of August 3 — Three new products

### New features

**Qredence Skills — 62 Figma agent skills installable with `skills.sh`** Qredence Skills is a curated catalogue of practical Figma design and product skills for AI agents. Each skill is a single `SKILL.md` with a trigger description and an evidence-backed workflow, grouped by job across accessibility, design systems, components and code mapping, layout, prototyping and motion, and more. Install with `npx skills@latest add qredence/skills`, pick the skills and target agents, and invoke by name or task description. See [Introduction to Qredence Skills](https://docs.qredence.ai/skills/introduction.md).

**Fleet Reasoner — Qlaw reasoning engine on DSPy 3.3.0** Fleet Reasoner (`qlaw-dspy`) re-implements Qlaw as a compilable, evaluable program on DSPy 3.3.0. Every layer is a typed `dspy.Module`: seven optimizable lenses (`SemanticInterpreter`, `Decomposer`, `OntologyArchitect`, `TrajectoryStrategist`, `Critic`, `GroundingEnricher`, `Explainer`), a single `ReasoningEngine` module for the Selection → Routing → Invocation → Expansion → Critic loop, and a multi-turn `dspy.ReActV2` chat agent with lenses-as-tools. Ships with a FastAPI + SSE server, a tldraw web frontend, and per-lens trainsets so every tier is `MIPROv2` / `BootstrapFewShot` / `GEPA` optimizable and `Refine`-validated. See [Introduction to Fleet Reasoner](https://docs.qredence.ai/fleet-reasoner/introduction.md).


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