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npx skills add https://github.com/lawve-ai/awesome-legal-skills --skill pre-motion-andrew-bird
You think you've built the strongest version of your case. Pre-Motion runs it through a structured adversarial pipeline to find where it actually loses — the procedural, substantive, evidentiary, and strategic failure modes opposing counsel will pull on first. The opposite of confirmation bias, by design.
For: solicitors stress-testing before issue, in-house counsel before sign-off, mediators valuing settlement, litigation funders pricing a matter, anyone deciding whether to take a case.
Four passes over the matter. Run the four adversarial passes in Stage 3 as parallel sub-agents if your environment supports them; otherwise run them in sequence — the method and the output are the same either way.
--depth=fast runs a single combined adversarial pass for a quick read; --depth=thorough runs all four passes in full.
--depth=fast|thorough.Before reading matter documents:
[PRIVILEGE FLAGGED] banner to the output and recommend counsel review before any external distribution.The four Stage 3 passes specialise in the four ways UK civil cases lose.
Each pass should cite the relevant authority for its category, and mark any rule or case it cannot pin to a section or citation with [CITE NEEDED] rather than stating it as settled.
Produce the brief with the sections below. Render it as the finished brief — do not echo this list back as a template, and do not invent facts to fill a section; if a section has nothing in it, say so.
settlement-helper skill.Mark uncertainty inline as you go:
[SME VERIFY — failure mode] — borderline adversary output; counsel's call.[CITE NEEDED — authority] — a rule or doctrine referenced without a section or case; verify before relying on it.[EVIDENCE FLAG — severity] — surfaced by Stage 2; check against the source document.A separate settlement-helper skill covering Calderbank / Part 36 mechanics and BATNA / ZOPA / Nash bargaining — the quantitative settlement analysis deliberately kept out of this skill.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take lawve-ai/pre-motion-andrew-bird from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.