orthotect-context
Master AI coding agent context window efficiency, progressive file disclosure, and semantic chunking.
Skill by seotarek
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/seotarek-orthotect-context
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.
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About
Use cases: finance, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
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- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/orthotect-context
What's inside
- Skill name
orthotect-context- Description
- Master AI coding agent context window efficiency, progressive file disclosure, and semantic chunking. Enforces zero-scan starts, 3-tier progressive reading (skeleton → line discovery → surgical slice), parallel multi-tool fan-out, heavy directory isolation, and token budget management without degrading architectural context. Works across all autonomous agent platforms (Antigravity, Claude Code, Codex, Cursor) for beginners and senior engineers alike.
- License
- MIT
- Instructions
- 53 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Orthotect Context Architecture & Token Optimization The house standard for maximizing autonomous AI coding agent efficiency, preventing token bloat, accelerating turn-by-turn velocity, and eliminating context pollution. ## The 5 Laws of Token-Conscious Agent Context ### Law 1: Zero-Scan Grounding (Index-First Navigation) Never run recursive directory dumps or unbounded file tree traversals. - Ground agent intent using project index files (`README.md`, `package.json`, `MANIFESTO.md`, or `AGENTS.md`) before running discovery commands. - Run `orthotect context skeleton <dir>` to load a compact architectural symbol map mapping symbols to exact lines. ### Law 2: 3-Tier Progressive Disclosure Never read an entire file over 120 lines when inspecting or modifying isolated logic. Always use the 3-tier funnel: - **Tier 1 - Directory Skeleton:** Single-level directory check (`list_dir` or `ls`). - **Tier 2 - Line Discovery:** Targeted grep (`grep_search` or `grep -n "symbol" <file>`) to pinpoint line numbers. - **Tier 3 - Surgical Slice Read:** Read only a 40–80 line window (`StartLine` to `EndLine`). - *Safety Guard:* Read top 25 lines once if file-level imports or global state are required. ### Law 3: Parallel Grouped Fan-Out Eliminate sequential turn latency by emitting all independent file reads, searches, and syntax checks in a single turn. - Inspecting 3 components? Emit 3 read calls in parallel. - Shell diagnostics? Group checks into a single command with line caps (`head -n 40 file1 && tail -n 40 log2`). ### Law 4: Output Capping & Boundary Isolation Heavy directories and unbounded logs must never enter the active context window. - Always ignore: `node_modules`, `.git`, `dist`, `build`, `__pycache__`, `coverage`. - Pipe shell outputs through `head -n 50` or `tail -n 50`. - Return structured diff summaries (`git diff --stat`) rather than thousands of lines of raw compiler output. ### Law 5: Semantic Chunking & Modular Decomposition Decompose multi-thousand line files along architectural boundaries: - Use `orthotect context chunk <file> --max-tokens 500` to split large files at class, function, or FSM boundaries. - Never sever closures, JSX element trees, or active state transitions mid-block. --- ## Actionable Prompts & Blueprints ### For Beginners > "Analyze this task using Orthotect Context rules: locate the exact lines with grep first, read only the 50 lines surrounding the target, make the minimal surgical edit, and verify with tests without reading the entire repo." ### For Senior Engineers & Orchestrators > "Run `orthotect context inspect <target>` to derive token density. If tokens exceed 1,000, generate an architectural skeleton via `orthotect context skeleton` and execute changes through progressive surgical slices." --- ## Verification Command ```bash python3 core/context_optimizer.py inspect <path> node bin/orthotect.js context skeleton <dir> ```
From seotarek/orthotect, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 24, 2026 (5 days ago)
- Last release
- Oct 24, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/seotarek/orthotect
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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orthotect-cro
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Interface Conversion Rate Optimization (CRO) engineering.
SkillAFreshness: A★ 2Claude Code +9 - 0.603score
orthotect-schema
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Semantic structured data and Schema.org JSON-LD engineering for accessible, search-engine-crawlable interfaces.
SkillAFreshness: A★ 2Claude Code +9 - 0.598score
orthotect-forms
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Engineer resilient forms with double-submission locks, asynchronous validation FSMs, inline error feedback, accessible field labels, and optimistic state…
SkillAFreshness: A★ 2Claude Code +9 - 0.598score
orthotect-components
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Author production-grade, accessible UI components with full WAI-ARIA APG contracts, keyboard navigation, focus management, and 8 explicit states.
SkillAFreshness: A★ 2Claude Code +9 - 0.598score
orthotect-design-systems
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Architect and maintain enterprise design systems, W3C DTCG token hierarchies (primitives -> semantics -> components), multi-brand theming, and cross-platform…
SkillAFreshness: A★ 2Claude Code +9 - 0.598score
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Execute automated browser visual regression, color contrast, and layout shift verification using Playwright.
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Cite this page
orthotect-context skill. Agent Mart. https://agentmart.dev/skills/seotarek-orthotect-context (last updated 2026-10-24)