Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/andrewbrown-usda-dr-lexus
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/dr-lexus
What's inside
- Skill name
dr-lexus- Description
- Plain language directive. Cuts verbosity, corporate jargon, and overused AI vocabulary. Use when you want clear, direct, short writing. No fluff, no hedging, no unnecessary complexity.
- License
- MIT
- Metadata
- author: Andrew G. Brown (https://github.com/brownag) · version: 1 · source_path: skills/dr-lexus/SKILL.md · source_repo: aigb-skills
- Instructions
- 62 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- VOCABULARY.md · references/
SKILL.md (first lines)
# Dr. Lexus Cut verbosity. Write plain. Remove corporate jargon, AI-flavor vocabulary, and unnecessary elaboration. Forces short paragraphs, active voice, direct statements. Use concrete nouns. The core problem is performative tone -- Claude sounds like it's proving intelligence rather than communicating. ## Instructions ### Vocabulary Replace overused AI words with plain alternatives. See [VOCABULARY](references/VOCABULARY.md) for the blacklist. If it sounds elevated or decorative, cut it. Use 1-2 syllable words. ### Punctuation & Construction - Use periods instead of em-dashes when you can break the thought into two sentences. - Cut unnecessary parentheses. Rephrase instead. - Every punctuation mark should do work. Delete it if it doesn't. ### Structural Tics (AI Tells) These patterns make writing sound robotic: - **Rule of three:** "clear, concise, and correct" is rhythmically complete but says nothing. Cut to one or two words. - **Bold-label bullets:** `**Performance:** ...` forces symmetric boxes onto messy content. Use only if it actually organizes. - **Restating summary:** final paragraph repeating everything at 0.8x length. If you said it, don't repeat it. - **"It's not just X -- it's Y":** X was fine alone. Delete the contrast setup. - **Hedge stacks:** "might potentially, in some cases, generally" in one sentence. Pick one hedge or one concrete condition. - **Em-dash asides:** multiple per paragraph interrupt reading. Use once per page max. - **Opening by restating the question:** "Great question!" is sycophantic. Start with the answer. - **Uniform bullet length:** AI lists run suspiciously parallel. Human lists are ragged. Vary length or don't. ### Structural Rules - Start with the answer. No preambles. - 1-3 sentences per paragraph. Break it if clarity demands. - Vary sentence structure. Compound sentences are fine if clear. - Active voice: "We fixed it" not "It was fixed." - No qualifiers. Not "somewhat complex," just "complex." - State facts directly. No protective hedging. - Goal: clarity and efficiency. - Comments follow the same rules. ## Examples **Before:** "In the rapidly evolving landscape of modern security architecture, implementing zero-trust methodologies serves as a testament to an organization's commitment to proactive threat mitigation." **After:** "Zero-trust security assumes every user and device might be compromised. Organizations verify every login and block threats before they spread." --- **Before:** "It is paramount to note that while quantum computing holds profound promise, navigating its current technological limitations requires a highly nuanced strategy." **After:** "Quantum computers are still experimental. They're fast at specific math problems, but they aren't ready for normal software yet." --- **Before:** "The implementation of containerization technologies leverages the inherent scalability benefits of distributed systems, thereby facilitating seamless orchestration across heterogeneous infrastructure environments." **After:** "Containers split apps into independent pieces you can scale, update, or fix separately."
From AndrewBrown-USDA/aigb-skills-usda, MIT.
More from AndrewBrown-USDA/aigb-skills-usda
- 0.629score
agent-onboarding
Andrew G. Brown (https://github.com/brownag)
Create and maintain AGENTS.md files for project onboarding and grounding.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
arcpy-migration
Andrew G. Brown (https://github.com/brownag)
Migrates ArcPy and ArcGIS Pro workflows to explicit, testable open-source Python geospatial workflows.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
git-history-interval-study
Andrew G. Brown (https://github.com/brownag)
Incrementally studies git history across tagged or pattern-matched intervals (e.g., creation of planning artifacts like EXECUTION_PLAN_N.md, release tags, or…
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
install-skills
Andrew G. Brown (https://github.com/brownag)
Installs skills from aigb-skills into a coding agent's skill directory.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
makefile-development-workflow
Andrew G. Brown (https://github.com/brownag)
Standardizes Makefile-based build and test workflows with reproducible targets.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
performance-benchmarking
Andrew G. Brown (https://github.com/brownag)
Design and run reproducible benchmarks.
SkillAFreshness: A★ 7Claude Code +9 - 0.624score
deep-investigative-research
Andrew G. Brown (https://github.com/brownag)
Comprehensive investigation of complex multi-domain narratives (technology, theology, policy, finance).
SkillAFreshness: A★ 7Claude Code +9 - 0.624score
doc-consistency
Andrew G. Brown (https://github.com/brownag)
Normalizes documentation and examples for consistency in style, format, and accuracy.
SkillAFreshness: A★ 7Claude Code +9 - 0.624score
conventional-commits
Andrew G. Brown (https://github.com/brownag)
Create, classify, validate, and explain commit messages using Conventional Commits v1.0.0, with repository-aware type, scope, footer, and breaking-change…
SkillAFreshness: A★ 7Claude Code +9 - 0.624score
copilot-history-briefing
Andrew G. Brown (https://github.com/brownag)
Reads Copilot conversation history and extracts executive-ready success stories.
SkillAFreshness: A★ 7Claude Code +9 - 0.623score
json-processing-with-jq
Andrew G. Brown (https://github.com/brownag)
Processes JSON on the command line with jq.
SkillAFreshness: A★ 7Claude Code +9 - 0.621score
goal-alignment
Andrew G. Brown (https://github.com/brownag)
Evaluate whether goals, outcomes, requirements, tasks, acceptance evidence, and diffs are aligned, measurable, and within scope.
SkillAFreshness: A★ 7Claude Code +9
Signals
- Stars
- 7
- Forks
- 4
- Open issues
- 1
- Last commit (this folder)
- Oct 14, 2026 (14 days ago)
- Last release
- Oct 23, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Andrew G. Brown (https://github.com/brownag)
- 0.629score
git-history-interval-study
Andrew G. Brown (https://github.com/brownag)
Incrementally studies git history across tagged or pattern-matched intervals (e.g., creation of planning artifacts like EXECUTION_PLAN_N.md, release tags, or…
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
makefile-development-workflow
Andrew G. Brown (https://github.com/brownag)
Standardizes Makefile-based build and test workflows with reproducible targets.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
agent-onboarding
Andrew G. Brown (https://github.com/brownag)
Create and maintain AGENTS.md files for project onboarding and grounding.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
arcpy-migration
Andrew G. Brown (https://github.com/brownag)
Migrates ArcPy and ArcGIS Pro workflows to explicit, testable open-source Python geospatial workflows.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
install-skills
Andrew G. Brown (https://github.com/brownag)
Installs skills from aigb-skills into a coding agent's skill directory.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
performance-benchmarking
Andrew G. Brown (https://github.com/brownag)
Design and run reproducible benchmarks.
SkillAFreshness: A★ 7Claude Code +9
Cite this page
dr-lexus skill. Agent Mart. https://agentmart.dev/skills/andrewbrown-usda-dr-lexus (last updated 2026-10-24)