Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Ws Tw Trade

ASecurity

Use when you must size the aircraft by matching wing loading and thrust to weight: compute the takeoff distance constraint, climb gradient constraint, and cruise constraint curves, and find the binding constraint that sets the minimum thrust to weight at a given wing loading. Produces the wing loading constraint envelope and the required thrust to weight for the sizing matching chart that gate the conceptual sizing trade. Trigger: wing loading, thrust to weight, matching chart, sizing, takeof...

2 stars
0 votes
0 copies
0 views
Added 9/27/2026
ai-agentspythonrustgo

Works with

claude codecli

Security Analysis

A100/100

Scanned 9/27/2026

Install to Claude Code

$npx -y skills add ashfordeOU/aero-agent-skills --skill ws-tw-trade --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Ws Tw Trade?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Ws Tw Trade
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/ashfordeou-ws-tw-trade/badge)](https://www.skillsdirectory.com/skills/ashfordeou-ws-tw-trade)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: ws-tw-trade
description: "Use when you must size the aircraft by matching wing loading and thrust to weight: compute the takeoff distance constraint, climb gradient constraint, and cruise constraint curves, and find the binding constraint that sets the minimum thrust to weight at a given wing loading. Produces the wing loading constraint envelope and the required thrust to weight for the sizing matching chart that gate the conceptual sizing trade. Trigger: wing loading, thrust to weight, matching chart, sizing, takeoff distance, climb gradient, binding constraint."
license: Apache-2.0
compliance: STANDARDS-REF
standards:
  - id: far-25
    reference-only: true
  - id: cs-25
    reference-only: true
gated: false
domain: vehicle-design
pack: vehicle-design
compatibility: "agentskills.io SKILL.md; any SKILL.md host (Claude Code, Hermes, OpenClaw)"
metadata:
  domain: vehicle-design
  subdomain: sizing
  tags: [wing-loading, thrust-to-weight, matching-chart, sizing, takeoff-distance, climb-gradient]
  version: 0.1.0
  author: Aero Agent Skills
---

# W/S and T/W Matching (vehicle-design/sizing/ws-tw-trade)

Use when the task is wing loading and thrust to weight matching for
conceptual sizing: the stall, takeoff distance, climb gradient, and
cruise constraints that draw the sizing matching chart, and the
binding constraint that sets the minimum thrust to weight at a given
wing loading.

## Domain quick reference

- Wing loading W/S is in N/m^2, thrust to weight T/W is unitless,
  air density rho in kg/m^3 (default 1.225 kg/m^3, sea-level ISA),
  speeds in m/s, takeoff distance in m, flight path angle gamma in
  rad, and g = 9.80665 m/s^2.
- Stall constraint (maximum wing loading): W/S = 0.5 * rho * CLmax *
  VS^2, from lift equal to weight at the stall speed VS.
- Takeoff distance constraint (required T/W): T/W = 1.21 * (W/S) /
  (rho * g * CLmax * s_TO), with s_TO the takeoff distance in m.
- Climb gradient constraint (required T/W): T/W = 1/LD + gamma, the
  level-flight drag term plus the small-angle climb term, gamma in
  rad.
- Cruise constraint (required T/W at speed V): T/W = 0.5 * rho * V^2
  * CD0 / (W/S) + k * (W/S) / (0.5 * rho * V^2), the zero-lift drag
  term plus the lift-induced drag term, k = 1/(pi * e * AR).
- The matching chart plots required T/W against W/S, one curve per
  constraint; at a given wing loading the binding constraint is the
  curve with the largest required T/W, which sets the minimum thrust
  to weight for the propulsion sizing.
- FAR-25 (14 CFR Part 25) and CS-25 set the certification context
  (stall speed, takeoff field length, and climb gradients for
  transport-category aeroplanes); the constraint equations are common
  conceptual sizing practice.

## Workflow

1. Set the design point: stall speed, maximum lift coefficient, air
   density, takeoff distance, lift-to-drag ratio, climb gradient,
   cruise speed, zero-lift drag coefficient, and induced drag factor
   k.
2. Compute the maximum wing loading allowed by the stall speed with
   stall_constraint.
3. Compute the required T/W from the takeoff distance with
   takeoff_constraint.
4. Compute the required T/W from the climb gradient with
   climb_constraint.
5. Compute the required T/W at the cruise speed with
   cruise_constraint.
6. Sweep candidate wing loadings and find the binding constraint with
   feasible_min_tw; the returned min_tw is the required thrust to
   weight that sizes the propulsion system.

## Pitfalls

- Mixing units: wing loading in kg/m^2 instead of N/m^2, or gamma in
  degrees with the small-angle formula; keep everything SI with gamma
  in rad.
- Forgetting the density default: rho defaults to 1.225 kg/m^3
  (sea level); at altitude the lower density tightens the takeoff and
  climb constraints.
- Treating the climb term as 1/LD only: the gamma term is the climb
  gradient itself; dropping it understates the required T/W.
- Averaging the constraint T/W values instead of taking the maximum:
  the binding constraint is the maximum, not the mean, and it defines
  the feasible design point on the matching chart.
- Using the stall constraint as a required T/W curve: it gives a
  maximum wing loading boundary, not a thrust requirement.
- Passing an empty constraints dict to feasible_min_tw; the module
  raises ValueError instead of guessing.

## Behavior contract (gate 3)

The stall, takeoff distance, climb gradient, and cruise constraints
plus the binding-constraint minimum T/W logic are exercised by the
gate 3 contract test: scripts/test_ws_tw_trade.py against
scripts/ws_tw_trade_logic.py (stdlib unittest, offline). Run:
python3 scripts/test_ws_tw_trade.py

## Compliance

- Standards referenced, not reproduced: FAR-25 is US government work
  (public domain) and CS-25 is a free EASA download; the constraint
  equations are common conceptual sizing methodology, summary-only
  per standards-map.yaml.
- compliance: STANDARDS-REF, gated: false.

Attribution

ashfordeOUashfordeOU
View sourceMore from ashfordeOU →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

694821 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →