Agent skill

Scenario Blender Retopology

by scenario-labs in scenario-labs/skills

A skill your agent uses when turning a dense sculpt, scan or AI-generated mesh into clean topology in Blender, for animation, subdivision or a game low poly with a triangle budget.

MITAuto-check passedGame Development

Install Scenario Blender Retopology

skills CLI
$ npx skills add scenario-labs/skills --skill scenario-blender-retopology -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install scenario-labs/skills scenario-blender-retopology --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dcc/blender/scenario-blender-retopology .claude/skills/scenario-blender-retopology && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
scenario-blender-retopology
GitHub stars
946
Token cost
~5.5k tokens
SKILL.md length
1,867 words
Files
6 (incl. scripts, references)
Skills in repo
146
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when turning a dense sculpt, scan or AI-generated mesh into clean topology in Blender, for animation, subdivision or a game low poly with a triangle budget.

  • Works in 8 steps: Inspect (procedures P1): holes,… → Map: read the sculptor's face sets first… → Choose a method per part → …
  • Turning a dense sculpt
  • SKILL.md covers Stance (the expert delta), Establish first, Workflow and What an agent reaches…, plus 5 more sections
  • Runs Python scripts from its folder; calls npx

What it does

Scenario Blender Retopology is an agent skill from scenario-labs/skills. Use when turning a dense sculpt, scan or AI-generated mesh into clean topology in Blender, for animation, subdivision or a game low poly with a triangle budget. Also when choosing between QuadriFlow or voxel remesh and manual retopo, placing loops around eyes, mouth and joints, deciding pole placement, setting up a Shrinkwrap cage, fixing volume loss after subdivision, preparing a low poly for baking, or auditing topology for spirals, 6-poles and triangles. Keywords: retopo, retopology, quad remesh, clean up an…

Its SKILL.md is about 5.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/critique.md`, `references/expert-notes.md` and `references/procedures.md`).

It sits in Game Development. It works with Blender. The repository describes itself as: Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through… The licence is MIT.

When your agent uses it

  • Turning a dense sculpt
  • AI-generated mesh into clean topology in Blender
  • A game low poly with a triangle budget

Example prompts

  • “/scenario-blender-retopology”

Requirements

  • Python 3
  • Node.js

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Inspect (procedures P1): holes, manifoldness, scale, rotation, symmetry. GATE: all four written down.
  2. Map: read the sculptor's face sets first (R.face_set_map, R.face_set_review, P1b: lip line, eye masks, ears, hooves); landmarks with…
  3. Choose a method per part
  4. Build islands separately and roughly (Kaspar: "don't focus on tweaking all the points"). Stack via R.setup_cage (Mirror clip > Shrinkwrap…
  5. Relax and freeze hand-built layouts: R.relax, R.freeze. Not after QuadriFlow (worsened coverage 0.44 % to 0.55 %).
  6. Connect by counts: R.boundary_loops, then R.bridge / R.weld_loops on equal counts; reduce the larger side first (Kaspar: wrist 10 vs hand…
  7. Volume: film R.fit_subdiv (gentle defaults); game R.push_outside then R.triangulate_twisted and a Triangulate modifier on export.
  8. Review and hand off: gates, two render sheets, handoff hygiene (P13). Report what the agent did not plan.

What it can do on your machine

Read from SKILL.md and the folder at commit f6f8ab7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scenario Blender Retopology loads about 5.5k tokens when it runs, and up to ~31k if it reads all its reference files. Until then it costs about 146 tokens; SKILL.md has 1,867 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~146
When it runs · the whole SKILL.md, loaded when a task matches
~5.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~31k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from scenario-labs/skills at commit f6f8ab7, republished under its MIT licence (© scenario-labs). 1,867 words, ~5,507 tokens.

Download SKILL.mdSave it as .claude/skills/scenario-blender-retopology/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
scenario-blender-retopology
description
Use when turning a dense sculpt, scan or AI-generated mesh into clean topology in Blender, for animation, subdivision or a game low poly with a triangle budget. Also when choosing between QuadriFlow or voxel remesh and manual retopo, placing loops around eyes, mouth and joints, deciding pole placement, setting up a Shrinkwrap cage, fixing volume loss after subdivision, preparing a low poly for baking, or auditing topology for spirals, 6-poles and triangles. Keywords: retopo, retopology, quad remesh, clean up an AI mesh, edge flow, low poly, bake prep.
license
MIT

Blender retopology

Expert retopology is a plan executed with the fewest loops that capture the forms and let the mesh deform: loops close around eyes, mouth and joints, poles sit where nothing moves, and the subdivided surface, not the cage, matches the sculpt. An agent without a mouse can build every piece of this from data, but it reaches expert quality only on the parts it plans explicitly. Automatic remeshing is a finish for static assets and a start for everything else. If a sibling skill named here is missing from your available skills, ask the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.

REQUIRED BACKGROUND: scenario-blender-expert (execution channel, review loop, 5.2 API changes). Toolkit: scripts/bx_retopo.py (import sys; sys.path.append("<skills>/scenario-blender-retopology/scripts"); import bx_retopo as R), all coordinates in the sculpt's local space.

Stance (the expert delta)

  • Map first, as data. Kaspar draws six layers on the sculpt before any vertex: edge flow, primary creases, secondary (expression-only) creases, articulation, expression bounds, landmarks (BCON22 [00:07:55], shown in frames 00:07:53 to 00:14:38). The agent writes the same map as coordinates and loop counts (landmarks from renders plus R.surface_point), then builds.
  • Loops are the budget, not vertices. Articulation minimum (Kaspar after Brian Tindall): lids, lips and brows as curves with 3 controls and 2 handle loops each, plus 2 corner loops on eyes; upper count = lower count (Dikko, Kaspar, Kenny); 3 loops per joint; a crease is 1 loop on it plus 2 hugging it. Elsewhere "as much as it needs to be" (Kaspar Live #3 [01:56:33]).
  • Poles: valence 3 or 5, where nothing moves, never on a crease loop, a shell rim or the face center line (Kaspar Live #7 [00:11:41], Live #3 [00:36:54]; Dikko [00:04:49]). Lampel's reason: pinching is a density jump in the subdivided result, harmless on flat still areas (BCON24 [00:21:18]). [added] An agent's poles come from ring-count reductions (4 per unit) and from cut borders that staircase across an auto base (about half their vertices): budget both.
  • Loops close on themselves. A spiral around eyes or lips means rebuild (Dikko); a spiral that terminates in a still area is tolerated (Dikko body [00:09:34], Kaspar nose).
  • Judge the subdivided surface. A snapped cage shrinks inside when subdivided; a Shrinkwrap offset fixes convex areas and worsens cavities. Fit the cage so its subdivided surface matches (Duha BCON23 [00:08:58]): R.fit_subdiv. Kaspar's Multires Apply Base does the same job but overshoots (measured below).
  • Game low poly = silhouette plus animation loops (SpeedChar): face about 3x body density, triangles wherever nothing bends, twisted quads cut by hand so baker and engine agree, low poly slightly proud of the high; every hard edge is a UV seam (On Mars 3D).
  • Auto-remesh fits static, scanned, background or bake-only assets (Lampel [00:09:05], Grant Abbitt, Duha, Jamie Dunbar). For deforming characters it lacks the judgment calls: on the sheep, QuadriFlow at expert density gave no rings around eyes or mouth and tore a thin ear.

Establish first

InputWhy it changes the planDefault when silent
Purposefilm cage renders at subdivision 2 (Kaspar); game ships triangles and bakesdeforming character: film-style all-quad cage
Budgetfilm: no vertex budget, minimum loops (Kaspar); game: triangle budgetfilm stylized head 1,650 to 4,100 faces, body 9,400 to 16,500 (Blender Studio meshes); game character < 10,000 tris
Deformationface rig, joints, how far the mouth travels (expression bounds)face + limbs deform
Cameradetail and density follow the closest view (SpeedChar)close-up face
Stylestylized: creases in topology; realistic: generic base + displacement (Kaspar)stylized
SymmetryR.topology_report(sculpt)["sym_local_pct"], local spaceMirror only above ~98 % (the sheep is 21 %, posed)
Separate partseyes, teeth, hair clumps, clothing (from the body duplicate)separate objects

Workflow

  1. Inspect (procedures P1): holes, manifoldness, scale, rotation, symmetry. GATE: all four written down.

  2. Map: read the sculptor's face sets first (R.face_set_map, R.face_set_review, P1b: lip line, eye masks, ears, hooves); landmarks with coordinates, loop counts per feature from the Numbers table, crease list (check expression shape keys), per-part density. GATE: map exists before any geometry.

  3. Choose a method per part:

    PartMethodEvidence
    Eyes, mouth, brows (deforming)carve_rings(corners=, count=(lo, hi)): upper = lower by construction, geodesic rings, the border's count kept when inside the range; pair odd boundaries first (parity_strip)v2: eyes 24 (12/12), mouth 30 (15/15) on every clean ring; forcing Kaspar's 18/24 cost 40 more poles
    Nasolabial, face frame, neck (map lines)carve_band along enclosing_contour of face sets (P7): one clean loop, poles pushed onto the basev2: nasolabial +18 poles; face frame opt-in, +64 poles on the sheep
    Limbs, ears, tail, fingers, hornslimb_profile (geodesic contours, root and joints found) + socket_tube(count=) (P3b, P8); straight parts: tube from sectionsv2: all 7 parts incl. the 1 m curled tail, 3 rings per joint
    Skull, torso, smooth massesQuadriFlow start acceptable, else grid patcheslittle deformation
    Static prop, scan, bake-onlyQuadriFlow whole object (R.quadriflow)Lampel, Grant Abbitt
    Realistic human headshrinkwrap a clean generic base mesh, then fit (Kaspar BCON22 [00:20:16])not scripted here
  4. Build islands separately and roughly (Kaspar: "don't focus on tweaking all the points"). Stack via R.setup_cage (Mirror clip > Shrinkwrap Target Normal Project > Subsurf hidden in edit mode). GATE: topology gate below passes per island.

  5. Relax and freeze hand-built layouts: R.relax, R.freeze. Not after QuadriFlow (worsened coverage 0.44 % to 0.55 %).

  6. Connect by counts: R.boundary_loops, then R.bridge / R.weld_loops on equal counts; reduce the larger side first (Kaspar: wrist 10 vs hand 16 was "six too many"). GATE: no triangles created.

  7. Volume: film R.fit_subdiv (gentle defaults); game R.push_outside then R.triangulate_twisted and a Triangulate modifier on export.

  8. Review and hand off: gates, two render sheets, handoff hygiene (P13). Report what the agent did not plan.

What an agent reaches (measured on the sheep; tests/code/blender-retopology/sheep_results.json and compare/metrics.json)

StrategyFacesSubdiv-2 mean errorInsideEye / mouth ringsClosed-loop edgesLooks
Kaspar's own retopo2,5960.24 %47 %5,5 / 229.9 %clean, reads unsubdivided
QuadriFlow, area-matched budget4,3720.14 %87 %0 / 01.6 %faceted, torn ear, uniform density
+ gentle fit_subdiv4,3720.045 %53 %0 / 01.6 %smooth masses, lumpy hooves
+ Multires Apply Base instead4,3720.11 %15 %0 / 01.6 %overshoot
Hybrid: eye rings + ear tubes + gentle fit4,5440.042 %52 %3,3 / 05.9 %first skill version
E1 run with the skill (fresh agent: face sets, warp, 4 eye rings, 5 lip rings, limb tubes)5,7780.040 %51 %4,4 / 5 (46 to 48 verts)19.4 %planned face, rippled lids, lumps at leg joins
v2 tools, final (test_sheep_v2.py: face sets, counts as ranges, corner split, geodesic rings and tubes, nasolabial loop)4,9800.028 %52 %4,4 clean 24-vert rings, 12/12 / 5 x 30, 15/1533.9 %best agent result: poles 5.7 % (Kaspar 5.2 %), none on clean rings, no 6-poles; nose and upper-lip patch irregular (human pass)

Numbers flatter the agent: an aggressive fit scored 0.043 % and looked lumpier than Kaspar's cage. What stays human-level only: articulation counts with handle loops, crease loops placed from expression shapes, pole routing and loop budgets out of the face. Say so in the report.

Show full SKILL.md (701 more words)Show less

Numbers

ItemValueSource
Render subdivision (film)2 levels; viewport 1Kaspar Live #6 [00:21:53]; BCON22 frame 00:26:38
Joint3 loops over the bending partKaspar Live #5 [01:37:48]
Limb start ring8 verts (legs 8 then 12); Dikko arms 8 min, 10 to 12 typical, legs 18Kaspar Live #4 [00:06:54]; Dikko [00:13:47]
Eyelid2 loops per lid crease + ~4 across; 10/10 spans exampleKaspar Live #1 [02:11:22]; Dikko [00:04:16]
Studio mesh99.9 %+ quads, 0 to 4 valence 6+ (report and justify each), poles ~1.8 % head, ~5 % body, edge CV 0.33 to 0.8calibration (bx_audit on Blender Studio files)
Auto-remesh hint (not a gate)edge CV ~0.17 to 0.27 on an unedited uniform remesh, near 0 % closed loopscalibration, sheep
Gamehead 2,000 to 3,000 tris, hands ~1,000 both, body 5,000 to 6,000SpeedChar ep23 [00:09:58], ep24 [00:50:34]
Apply Base levels2 body, 3 head, hair, clothesKaspar Live #5 [02:15:03]

Quality gates

Code (thresholds [added], calibrated on Kaspar's sheep: 0.24 % mean, 47 % inside, coverage p95 0.82 %):

python
retopo_gate = R.topology_report(retopo)
fit_gate = R.fidelity(retopo, sculpt, levels=2)
gate = {"six_poles_to_justify": retopo_gate["valence_6plus"], "no_rim_poles": retopo_gate["rim_poles"] == 0,
        "quads": retopo_gate["non_quads_visible"] == 0 or retopo_gate["quads_pct"] >= 99.0,
        "subd_fit": fit_gate["mean_pct"] <= 0.3 and 40 <= fit_gate["inside_pct"] <= 60,
        "coverage": fit_gate["cov_p95_pct"] <= 1.0, "loops": R.loop_stats(retopo)}
print(gate)

Edge-length CV is never pass/fail (studio meshes read 0.33 to 0.8); 6-poles are reported and justified, not banned (studio 0 to 4). Also: crease_poles == 0, center_poles == 0 on mirrored faces, R.loops_around(retopo, eye, normal, max_radius) returns at least 3 closed rings per eye and mouth, ring counts equal before every merge, triangles only in hidden or rigid areas, budget met (R.tri_count). Visual (bx_review, same views as the sculpt): cage in wire (rings close, no wandering loops, poles in still areas) and subdivided matcap (lumps, pinching at poles, creases held), then the cage alone: it must read without subdivision (Kaspar Finale [01:58:41]). Score with references/critique.md.

Common mistakes

MistakeLooks likeFix
Carving around QuadriFlow's closed eye slitsevery eye ring odd (47, 45), no all-quad fixR.parity_strip between the two odd boundaries BEFORE carving
Counts inherited from a dense cut, or forced far below iteye rings 46 to 48; or pole density 9.5 %count=(lo, hi): each reduction unit costs 4 poles; ranges took the sheep from 9.5 to 5.7 %
3D-nearest lookups where surfaces toucha band or socket cut bites an ear lying on the cheekgeodesic fields, curve_verts, oriented nearest_vertex (built into bands and tubes)
Tight rings for an edge-flow loopa ridge after subdivisionband spacing = edge length; tight only for creases
Shipping a snapped cagesubdivided surface inside the sculpt (87 %)R.fit_subdiv
Shrinkwrap offset for volumecavities worsefit, offset 0
Raw quadriflow_remesh on a small dense meshCANCELED, "needs to be manifold"R.quadriflow (scale trick, voxel fallback)
QuadriFlow symmetry left at its default Truewrong half on a posed meshsymmetry=False unless symmetric
Relaxing an auto-remeshtips and ears shrinkrelax hand-built layouts only
Mark Sharp / Seam as remindersshading breaks (4.1+), unwrap cutsretopo_crease attribute (P5)
Grid fill on an odd loopFINISHED, 0 facescount first; R.grid_fill raises
Connecting parts earlyevery new loop runs everywhereislands, count, merge last
Trusting mean errorlumpy fit passesmatcap review, gentle fit
Re-shrinkwrap after Apply Basevolume lost againnever (Kaspar Live #6 [00:20:08])
Game quads left non-planarlines in the normal mapR.triangulate_twisted, Triangulate on export

Blender 5.2 notes

  • Hidden Wire is the Retopology overlay (overlay.show_retopology, offset 0.01 m since 4.5); "Project Individual Elements" is snap_elements_individual = {'FACE_PROJECT'}. GUI only.
  • Slide Relax is the Relax Slide brush asset (strokes need a window, bx_gui); headless use R.relax. F2, LoopTools, BSurfaces are extensions; mesh.circularize, space_edge_loops_evenly, flatten are built in; mesh.select_by_pole_count exists (4.4).
  • The BCON22 build's Shrinkwrap showed Smooth Factor 0.05 / Repeat 1 (frame 00:22:53); 5.2.1's Shrinkwrap has no such option.
  • sharp_edge is always honored since 4.1; Auto Smooth is gone (Smooth by Angle modifier).
  • Apply Base = object.multires_base_apply(apply_heuristic=True); QuadriFlow lost its shortcut and has the traps above.

References

  • references/procedures.md: tested code, P0 to P14 (inspect, face sets P1b, stack, tubes, geodesic limbs P3b, freeze/relax, annotations, QuadriFlow, map-line loops and rings, sockets, volume, checks, game, expression test, handoff, AI-mesh finishing). Load before writing any code.
  • references/expert-notes.md: principles by expert with timestamps, face and body loop maps, clothing, game rules, the sheep experiment in full. Load when planning a face, body, clothing or game mesh.
  • references/critique.md: the rubric to judge your own retopo. Load at every review.
  • references/sources.md: all 24 source videos with best timestamps.

© scenario-labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/dcc/blender/scenario-blender-retopology of scenario-labs/skills.

  • SKILL.md
  • references/critique.md
  • references/expert-notes.md
  • references/procedures.md
  • references/sources.md
  • scripts/bx_retopo.py

Open the folder on GitHubat commit f6f8ab7

Compare with similar skills

Scenario Blender Retopology next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Blender Image To 3Dmajidmanzarpour/blender-game-skills135—~5.7kAutomated safety check: PassMIT
Text To 3D AssetLaurentiuGabriel/unreal-game-assets-creation-skill148—~2.1kAutomated safety check: PassNone

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Works with

Questions about Scenario Blender Retopology

What does Scenario Blender Retopology do?

A skill your agent uses when turning a dense sculpt, scan or AI-generated mesh into clean topology in Blender, for animation, subdivision or a game low poly with a triangle budget. Scenario Blender Retopology is an agent skill from scenario-labs/skills. Use when turning a dense sculpt, scan or AI-generated mesh into clean topology in Blender, for animation, subdivision or a game low poly with a triangle budget.

When should I use Scenario Blender Retopology?

Scenario Blender Retopology fits situations like: turning a dense sculpt; AI-generated mesh into clean topology in Blender; A game low poly with a triangle budget.

How do I install Scenario Blender Retopology in Claude Code?

Run `npx skills add scenario-labs/skills --skill scenario-blender-retopology -a claude-code`. Or copy the skill folder (skills/dcc/blender/scenario-blender-retopology in scenario-labs/skills) into .claude/skills/scenario-blender-retopology in your project. Claude Code loads it when a task matches its description.

How do I install Scenario Blender Retopology in Codex?

Run `npx skills add scenario-labs/skills --skill scenario-blender-retopology -a codex`. Or copy the skill folder (skills/dcc/blender/scenario-blender-retopology in scenario-labs/skills) into .agents/skills/scenario-blender-retopology in your project. Codex loads it when a task matches its description.

Can I use Scenario Blender Retopology in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add scenario-labs/skills --skill scenario-blender-retopology -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scenario-blender-retopology, .gemini/skills/scenario-blender-retopology, .github/skills/scenario-blender-retopology and .opencode/skills/scenario-blender-retopology in your project.

What does Scenario Blender Retopology need to run?

Going by SKILL.md and its folder, Scenario Blender Retopology needs Python for the scripts in its folder and the command-line tools its instructions call (npx). Our summary lists: Python 3; Node.js.

Does Scenario Blender Retopology access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Scenario Blender Retopology safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Scenario Blender Retopology use?

Scenario Blender Retopology is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scenario Blender Retopology use?

About 5.5k tokens (SKILL.md is roughly 22k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 25k tokens, read only when the agent opens those files.

What are the alternatives to Scenario Blender Retopology?

Skills that share tags, products or a category with Scenario Blender Retopology: Threejs World Generation (calesthio/OpenMontage, 66k stars), 3Dviz Pro Max Scene Builder (viettranx/3dviz-pro-max, 709 stars), Asset Pipeline (rehan-remade/universal-modder, 6.5k stars) and Blender Image To 3D (majidmanzarpour/blender-game-skills, 135 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scenario Blender Retopology?

scenario-labs (a GitHub organization) maintains it in scenario-labs/skills, which has 946 GitHub stars. The repository holds 146 skills in this directory. The repository was last updated on October 10, 2026.

Source: scenario-labs/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.