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

Mangler Axisymmetric Transform

ASecurity

Use when you must map the steady laminar boundary layer on a slender axisymmetric body of revolution or a sharp cone into an equivalent 2-D flow with the mangler-transformation: evaluate the Mangler transformed running length xi = integral (r0/L)^2 dx and the transformed normal coordinate from the body radius distribution, the cone-surface radius and the equivalent 2-D length for power-law bodies, and the sharp-cone values at equal running length from flat-plate baseline values passed in: ski...

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

Works with

claude code

Security Analysis

A100/100

Scanned 9/27/2026

Install to Claude Code

$npx -y skills add ashfordeOU/aero-agent-skills --skill mangler-axisymmetric-transform --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Mangler Axisymmetric Transform?

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

Security grade badge for Mangler Axisymmetric Transform
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/ashfordeou-mangler-axisymmetric-transform/badge)](https://www.skillsdirectory.com/skills/ashfordeou-mangler-axisymmetric-transform)

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

Download with Pro
Files
SKILL.md
---
name: mangler-axisymmetric-transform
description: "Use when you must map the steady laminar boundary layer on a slender axisymmetric body of revolution or a sharp cone into an equivalent 2-D flow with the mangler-transformation: evaluate the Mangler transformed running length xi = integral (r0/L)^2 dx and the transformed normal coordinate from the body radius distribution, the cone-surface radius and the equivalent 2-D length for power-law bodies, and the sharp-cone values at equal running length from flat-plate baseline values passed in: skin friction and wall shear times the sqrt-3 laminar cone factor, the 99-percent, displacement and momentum thicknesses divided by sqrt-3, the thinner higher-shear cone layer at the same station. Produces the cone boundary-layer values and the coordinate mapping in SI units that anchor laminar cone-surface and body-of-revolution boundary-layer estimates. Trigger: mangler-transformation, cone-boundary-layer, axisymmetric-body-boundary-layer, laminar-cone-factor, body-of-revolution-bl."
license: Apache-2.0
compliance: STANDARDS-REF
standards:
  - id: naca-tr-824
    reference-only: true
gated: false
domain: aerodynamics
pack: boundary-layer
compatibility: "agentskills.io SKILL.md; any SKILL.md host (Claude Code, Hermes, OpenClaw)"
metadata:
  domain: aerodynamics
  subdomain: boundary-layer
  tags: [mangler-transformation, cone-boundary-layer, axisymmetric-body-boundary-layer, laminar-cone-factor, body-of-revolution-bl]
  version: 0.1.0
  author: AeroSkills
---

# Mangler Axisymmetric-Body Transform (aerodynamics/boundary-layer/mangler-axisymmetric-transform)

Use when you must map the steady laminar incompressible boundary layer on a
slender axisymmetric body of revolution or a sharp cone into an equivalent
2-D flow with the Mangler transformation (Mangler, 1948, in the form
Schlichting Boundary-Layer Theory, boundary layers on bodies of revolution,
and White Viscous Fluid Flow present it). This leaf implements the geometry
mapping: the transformed running length xi = integral (r0/L)^2 dx, the
transformed normal coordinate ybar = (r0/L)*y, the power-law body closed
forms, and the sharp-cone closed-form ratios at equal running length, in
pure Python stdlib, closed form, no iteration. On a sharp cone the
transformed flow is the Blasius zero-pressure-gradient layer, so the
mapping closes: wall shear and skin friction are sqrt(3) times the
flat-plate values at the same running length, and the 99-percent,
displacement and momentum thicknesses are 1/sqrt(3) times the flat-plate
values, the thinner higher-shear cone layer. It consumes the flat-plate
baseline values as arguments from the sibling boundary-layer-theory
correlations and outputs only the cone-scaled values and the transform
coordinates: it owns no skin-friction or thickness correlation, no
stagnation-point layer, no compressible flow and no heat transfer, which
stay with the sibling leaves listed below. Laminar incompressible steady
flow only, constant nu; the cone edge velocity is constant, and for general
slender bodies with varying edge velocity this leaf returns only the
transformed coordinates and lengths, leaving the 2-D pressure-gradient
layer solution to the layer-evolution siblings.

## Domain quick reference

Geometry convention: x is the running length along the surface from the
apex (cone) or nose (general body), y is the distance normal to the
surface, r0(x) is the body radius at station x, alpha is the cone
semi-vertex angle in degrees, L is the Mangler reference length in m. The
transform is invariant to L: xi scales as L^-2 and ybar as L^-1, so every
physical output is L-free. Module constants: SQRT3 = 1.7320508075688772,
INV_SQRT3 = 0.5773502691896258, RHO_AIR = 1.225 kg/m3, NU_AIR = 1.5e-5
m2/s with dynamic viscosity always derived MU_AIR = RHO_AIR*NU_AIR =
1.8375e-05 Pa s, never an input.

- Cone geometry: r0(x) = x*tan(alpha), m, exact tan, never the
  small-angle approximation.
- Mangler transformed running length, cone closed form:
  xi = integral_0^x (r0(t)/L)^2 dt = r0(x)^2*x/(3*L^2), m, so xi scales as
  x^3 along a cone: the half-length station carries one eighth of the
  full-station xi.
- Transformed normal coordinate: ybar = (r0(x)/L)*y, m, wall to wall
  (y = 0 maps to ybar = 0); inverse map y = ybar*L/r0(x).
- General slender power-law body r0(x) = A*x^n (exponent 0 the cylinder,
  exponent 1 the cone): xi = A^2*x^(2n+1)/((2n+1)*L^2), closed form.
- Equal-running-length cone ratios (laminar, incompressible, constant
  u_e): tau_w,cone = SQRT3*tau_w,flat and Cf,cone = SQRT3*Cf,flat at the
  same x (identical ratios, both use the same 0.5*rho*u_e^2
  normalization); delta_cone = INV_SQRT3*delta_flat, delta*_cone =
  INV_SQRT3*delta*_flat, theta_cone = INV_SQRT3*theta_flat at the same x.
- Momentum-integral closure: the pair satisfies the axisymmetric
  zero-pressure-gradient balance d(theta*r0)/dx = r0*Cf/2 exactly; the
  reversed pair (both factors sqrt(3)) fails by a factor of 3.
- Shape factor: H = delta*/theta is preserved by the transform,
  H_cone = H_flat = 2.591566265 at the Blasius baseline.
- Blasius station scaling (consumption helpers, no constants inside):
  local Cf ~ 1/sqrt(x), cf(x2) = cf(x1)*sqrt(x1/x2); 99-percent thickness
  ~ sqrt(x), delta(x2) = delta(x1)*sqrt(x2/x1).
- Mangler plane-to-physical scaling for the cone: physical shear is the
  transformed shear times r0(x)/L and physical thickness is the
  transformed thickness times L/r0(x); composed with the Blasius station
  scaling these reduce exactly to the SQRT3 and INV_SQRT3 closed forms.

## Workflow

1. Fix the cone state and run the geometry traverse: the semi-vertex angle
   alpha, the running length x and the reference length L. Read the cone
   surface radius with cone_radius(x, half_angle_deg) and the equivalent
   2-D running length with mangler_xi(x, half_angle_deg, ref_length),
   where xi = cone_radius^2*x/(3*L^2) carries the x^3 content of the
   transformation.
2. Map the layer coordinates: the transformed normal coordinate ybar with
   transformed_normal_coordinate(x, y, half_angle_deg, ref_length), and
   the equivalent 2-D length of a general slender power-law body with
   powerlaw_mangler_xi(x, amplitude, exponent, ref_length) (exponent 0 the
   cylinder, exponent 1 the cone).
3. Consume the flat-plate baseline: take the sibling
   boundary-layer-theory values at the same running length x and edge
   velocity (local skin-friction coefficient, wall shear, 99-percent,
   displacement and momentum thicknesses) as inputs. This leaf derives
   none of them; they are passed in as arguments.
4. Scale the cone skin friction and wall shear: cone_skin_friction
   (cf_flat) and cone_wall_shear(tau_w_flat) multiply the flat-plate
   values by the sqrt-3 laminar cone factor at the same running length.
5. Scale the cone thicknesses: cone_boundary_layer_thickness(delta_flat),
   cone_displacement_thickness(delta_star_flat) and
   cone_momentum_thickness(theta_flat) divide the flat-plate values by
   sqrt-3 (the inverse sqrt-3 factor) at the same running length.
6. Check the shape factor: the cone displacement-to-momentum ratio equals
   the flat-plate shape factor 2.591566265 on the Blasius baseline; the
   transformation scales the layer, it does not reshape it.
7. Evaluate the equivalent 2-D layer at the Mangler length xi with the
   Blasius station-scaling helpers blasius_cf_at_station(cf_at_x1, x1, x2)
   and blasius_delta_at_station(delta_at_x1, x1, x2), then apply the
   plane-to-physical scalings (r0/L on shear, L/r0 on thickness); the
   composed pipeline closes on the cone closed forms within float noise.
8. Confirm the deterministic checks: the momentum-integral closure of the
   factor pair and the input-rejection traverse of non-physical inputs,
   with the contract test scripts/test_mangler_axisymmetric_transform.py.

## Worked example

Slender cone at half_angle 5.0 deg in standard air nu = 1.5e-5 m2/s,
rho = 1.225 kg/m3, constant edge velocity u_e = 30.0 m/s, running length
x = 2.0 m, reference length L = 1.0 m. All values below are real outputs
of the module.

- Reynolds number at the station: Re_x = u_e*x/nu = 4.0000000e6,
  sqrt(Re_x) = 2000.0 exactly.
- Geometry: cone surface radius cone_radius(2.0, 5.0) = 1.749773271e-01 m;
  Mangler equivalent 2-D running length mangler_xi(2.0, 5.0, 1.0) =
  2.041137665e-02 m, the 2 m cone surface maps to a 2 cm flat plate;
  transformed normal coordinate at the flat-plate layer top
  transformed_normal_coordinate(2.0, 5.0e-3, 5.0, 1.0) =
  8.748866353e-04 m.
- Power-law bodies at x = 2.0 m: r0 = 0.05*x^0.5 gives
  powerlaw_mangler_xi = 5.00000000e-03 m, the cylinder r0 = 0.1 m gives
  2.00000000e-02 m, and the cone (amplitude tan(5 deg), exponent 1)
  reproduces xi = 2.041137665e-02 m.
- Flat-plate baseline at x = 2.0 m (inputs consumed from the sibling
  boundary-layer-theory Blasius correlations): cf_flat =
  0.664/sqrt(Re_x) = 3.32000000e-04, tau_w,flat = 0.332*rho*u_e^2/
  sqrt(Re_x) = 1.83015000e-01 Pa, delta_flat = 5.0*x/sqrt(Re_x) =
  5.00000000e-03 m, delta*_flat = 1.72080000e-03 m, theta_flat =
  6.64000000e-04 m.
- Cone values at the SAME running length x = 2.0 m: cf_cone =
  cone_skin_friction(3.32e-4) = 5.750408681e-04, ratio to the plate value
  1.732050808 = sqrt(3); tau_w,cone = cone_wall_shear(0.183015) =
  3.169912785e-01 Pa, ratio sqrt(3), equal to the Cf ratio; delta_cone =
  cone_boundary_layer_thickness(5.0e-3) = 2.886751346e-03 m, ratio
  0.5773502692 = 1/sqrt(3); delta*_cone =
  cone_displacement_thickness(1.7208e-3) = 9.935043432e-04 m and
  theta_cone = cone_momentum_thickness(6.64e-4) = 3.833605787e-04 m, both
  at ratio 1/sqrt(3).
- Shape factor on the cone: H_cone = delta*_cone/theta_cone =
  2.591566265, identical to H_flat (the transform scales the layer, it
  does not reshape it). Momentum-integral closure at the worked station:
  the analytic d(theta_cone*r0)/dx equals r0*Cf,cone/2 to float noise
  (ratio 1), the consistency check that the sqrt(3) and 1/sqrt(3) factor
  pair obeys the axisymmetric boundary-layer momentum balance.

Read-off: a 5 deg half-angle cone at 2 m running length in a 30 m/s stream
(Re_x = 4e6) carries a laminar skin friction of 5.75e-4, exactly sqrt(3)
times the 3.32e-4 of the flat plate at the same station, with its boundary
layer squeezed from 5.0 mm to 2.89 mm; the equivalent 2-D flow lives on a
2 cm plate, and it is on that short equivalent plate that the flat-plate
correlations of boundary-layer-theory are evaluated before the mapping
scales the values back to the cone surface. The sqrt(3) family is the
laminar cone signature: thinner layer, higher wall shear. This momentum-
only leaf computes no heat transfer; the wall-shear rise is why a laminar
sharp-cone surface runs hotter than the flat plate at the same Reynolds
number in the heat-transfer analogy, which the high-speed heating leaf
owns.

## Verification

- Confirm cone_radius(2.0, 5.0) returns 1.749773271e-01 m, equal to
  2.0*math.tan(math.radians(5.0)), and mangler_xi(2.0, 5.0, 1.0) returns
  2.041137665e-02 m with the x^3 scaling (the half-length station carries
  one eighth of the xi) and the L^-2 scaling.
- Confirm the power-law family: powerlaw_mangler_xi(2.0,
  math.tan(math.radians(5.0)), 1.0, 1.0) reproduces mangler_xi, the
  cylinder returns 2.0e-02 m and the r0 = 0.05*x^0.5 body returns 5.0e-03
  m.
- Confirm the cone closed forms at the worked station: cone_skin_friction
  (3.32e-4) = 5.750408681e-04 (between 4.0e-4 and 8.0e-4) with ratio
  SQRT3, cone_wall_shear(0.183015) = 3.169912785e-01 Pa with ratio SQRT3
  equal to the Cf ratio, cone_boundary_layer_thickness(5.0e-3) =
  2.886751346e-03 m (between 2.0e-3 and 3.5e-3 m, below the 5.0e-3 m
  plate layer), cone_displacement_thickness(1.7208e-3) = 9.935043432e-04
  m and cone_momentum_thickness(6.64e-4) = 3.833605787e-04 m, each with
  ratio INV_SQRT3.
- Confirm the shape factor H_cone = 2.591566265 equals 1.7208/0.664, the
  Mangler shear and thickness pipelines (the composed plane-to-physical
  and Blasius station-scaled values) close on the closed forms within
  1e-9 relative, and the momentum-integral closure ratio is 1.
- Confirm the consumption helpers: blasius_cf_at_station(3.32e-4, 2.0,
  4.0) = 2.3475945135e-04 (cf at twice the station is cf/sqrt(2)) and the
  round trips over (x1, x2) and back hold within float noise.
- Confirm every non-physical input raises ValueError: x at 0 or negative
  on the geometry functions, half_angle_deg at 0 or 90, y negative on the
  transformed normal coordinate, ref_length at 0 or negative, amplitude 0
  or exponent negative on the power-law body, zero baselines or stations
  on the helpers, and non-positive flat-plate baselines on the cone
  functions.
- Run the contract test offline: python3
  scripts/test_mangler_axisymmetric_transform.py (34 tests,
  deterministic, passes under /usr/bin/python3 and the pyenv 3.13.12
  interpreter).

## Pitfalls

- Reversing the cone factor pair: wall shear and skin friction carry
  sqrt(3) but the thicknesses carry 1/sqrt(3). Putting sqrt(3) on the
  thickness as well breaks the axisymmetric momentum integral
  d(theta*r0)/dx = r0*Cf/2 by a factor of 3; the cone layer is thinner
  and more strongly sheared than the plate layer at the same station.
- Comparing at equal running length versus equal transformed length: the
  sqrt(3) family is the equal-x comparison. At equal xi the equivalent
  2-D layer and the physical layer are identical by construction (ratios
  of 1); the factor appears only when two physical stations at the same x
  are compared.
- Applying the factor family to turbulent cone layers: the sqrt(3) and
  1/sqrt(3) factors are laminar-only closed forms; the turbulent cone
  rule has no exact factor and this leaf does not claim one.
- Feeding a baseline from the wrong station or edge velocity: the cone
  functions multiply whatever flat-plate values are passed in, so the
  baseline must come from the same running length x and the same edge
  velocity u_e; mixing stations silently corrupts the cone values.
- Using the small-angle approximation: the module uses tan(alpha) exactly;
  replacing it with alpha in radians shifts the radius and hence every
  transformed length.
- Taking the mapping for compressible or heat-transfer work: this leaf is
  momentum-only laminar incompressible content. The Eckert
  reference-temperature method, recovery factor and Reynolds-analogy
  heating belong to flat-plate-skin-friction-heating, and stagnation-
  point attachment layers belong to stagnation-flow-boundary-layer.

## Related leaves

- aerodynamics/boundary-layer/boundary-layer-theory: owns the flat-plate
  Blasius and 1/7-power correlations whose values this leaf consumes as
  baseline inputs at the same running length.
- aerodynamics/boundary-layer/stagnation-flow-boundary-layer: the Homann
  axisymmetric attachment-region layer of the nose, a constant-thickness
  similarity layer with no running length, no cone surface and no
  transform content.
- aerodynamics/boundary-layer/boundary-layer-separation and
  aerodynamics/boundary-layer/boundary-layer-transition: the Thwaites
  traverse layer evolution of 2-D flows with varying edge velocity, which
  this leaf leaves to them for general slender bodies.
- aerodynamics/high-speed/flat-plate-skin-friction-heating: the
  compressible plate-station skin friction and Reynolds-analogy heat
  transfer of a 2-D high-Mach stream, the regime fence of this
  incompressible momentum-only geometry mapping.
- aerodynamics/high-speed/hypersonic-flow: the Newtonian cone axial force
  at Mach well above 5, the pressure side of cone flow, not the viscous
  side.

## Behavior contract (gate 3)

Run the deterministic contract test (stdlib unittest, offline):

    python3 scripts/test_mangler_axisymmetric_transform.py

The 34 tests cover the worked-example anchors with magnitude bounds (cone
radius, Mangler xi with its x^3 and L^-2 scalings, transformed normal
coordinate, power-law bodies), the sqrt(3) cone factor on skin friction
and wall shear with ratio checks, the inverse sqrt(3) factor on the three
cone thicknesses with the thinner-than-plate bound, the shape-factor
preservation, the Mangler shear and thickness pipelines closing on the
closed forms, the Blasius station-scaling helpers with round trips, the
momentum-integral closure (including the failure of the reversed factor
pair), deterministic repeat calls, module stdlib hygiene, and the
input-rejection traverse of non-physical running lengths, angles, normal
distances, reference lengths, power-law amplitudes and exponents, station
helpers and flat-plate baselines.

## Compliance

- Standards referenced, not reproduced: NACA TR-824 is the cited
  reference for the viscous boundary-layer family (the sibling precedent
  for this pack in standards-map.yaml); the classical transform treatment
  follows Mangler 1948 as presented by Schlichting Boundary-Layer Theory
  (boundary layers on bodies of revolution) and White Viscous Fluid Flow
  (Mangler transformation section), whose material is cited through the
  report. Summary-only methodology 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 →