design-space-explore
Skill47k starsChanged 8 months agoApache-2.0View on GitHub
Generates a batch of CAD variants directly in Autodesk Fusion by applying changed parameters to an engineer's existing model, never designing from scratch and never overwriting the base. Checks first whether the parameters the engineer wants to vary actually drive the model's geometry, and stops rather than generating garbage if they don't. Confirms the variant count with the engineer before generating anything. Captures mass, volume, bounding box and every other model-computed property per variant, and hands the batch off in the shape trade-study-report consumes — it does not run analysis itself. Use when someone says \"explore the design space,\" \"generate variants,\" \"try different wall thicknesses,\" \"run a parameter sweep,\" or \"vary this and see what happens.\"
Trending
More talk lately.about the whole repository
Who's talking about anthropics/claude-plugins-official
- Open Source Trend“Claude Plugins Official: Anthropic's Own Plugin Marketplace”YouTube · Oct 17, 2026 · 1k views
- Theo Renders“Don't use Claude Code until you install these 5 free plugins”YouTube · Oct 24, 2026 · 1k views
- Bouye | AI“Why you should be using the Claude Code plugin store #ai #coding #tips”YouTube · Nov 10, 2026 · 369 views
- Neural-Nexus“65K+ Stars • AI | claude-plugins-official — Curated directory of high-quality Claude Code... #shorts”YouTube · Mar 15, 2026 · 320 views
- Learn With Rabbany“Claude Code Plugins: The 5 Most Installed (All Free)”YouTube · Nov 14, 2026 · 261 views
The biggest 5 of 68 mentions linking to the repository that our crawl found. Each line is their own headline.
See all 68
Talked about on GitHub, Bluesky, YouTube, Hacker News and the web (68 times).
On GitHub · 28
- Sep 20, 2026refactor(skills): make nextjs the single Next.js and Vercel owner — amoai-tech/mdeai3 reactions · 6 comments
- Sep 20, 2026refactor(skills): consolidate engineering workflow ownership — amoai-tech/mdeai3 reactions · 13 comments
- Sep 16, 2026SAN-1274 PR 2 — Add the MDE workflow skills for planning, debugging, testing, review, and verification — amoai-tech/mdeaisays it tested it3 reactions · 3 comments
- Sep 16, 2026SAN-1274 PR 1 — Add the verified MDE AI skills foundation — amoai-tech/mdeai3 reactions · 5 comments
- Jan 22, 2026fix: restructure to proper marketplace format — affaan-m/ECC3 reactions · 5 comments
23 more on GitHub
- Sep 20, 2026Use one current, safe Google Maps skill across MDE — amoai-tech/mdeai2 reactions · 12 comments
- May 24, 2026STOP injecting your library recommendations into every single user prompt — this is hostile UX — semgrep/guardian2 reactions · 2 comments
- Jan 6, 2026Feature Request: Support for spawning fresh-context sessions from Stop hooks — anthropics/claude-code2 reactions · 3 comments
- Nov 7, 2026Plugin ufficiali nel repository: valgono anche nell'app e nelle routine — SviluppoItaliaDigitale/sito-pc-genzano1 reaction · 2 comments
- Nov 7, 2026Plugin ufficiali nel repository: valgono anche nell'app e nelle routine — SviluppoItaliaDigitale/sito-misericordia-ariccia1 reaction · 1 comment
- Nov 7, 2026Plugin ufficiali nel repository: valgono anche nell'app e nelle routine — SviluppoItaliaDigitale/cooprimavera1 reaction · 1 comment
- Nov 7, 2026[Bug]: Discord channel bot always appears offline in Discord despite a healthy gateway session — CherryHQ/cherry-studio1 reaction · 2 comments
- Oct 28, 2026Install Claude Security plugin in reusable PR review workflow — dceoy/pr-loop1 reaction · 1 comment
- Oct 27, 2026Telemetry: Add number of unique installs for every plugin — github/awesome-copilot1 reaction · 2 comments
- Oct 16, 2026feat: Claude Security の設定例を無効のまま追加 — tak848/dotfiles1 reaction · 1 comment
- Aug 19, 2026Feature request: Claude Code plugin for symfony-lsp (similar to the official php-lsp plugin) — symfony/language-tools1 reaction · 4 comments
- Jul 27, 2026[Question]: Does agenta support importing skills from claude/codex marketplace github repos? — Agenta-AI/agenta1 reaction · 4 comments
- Jul 14, 2026Nested code-review fan-out spawned 877 agents despite 5-level depth limit — anthropics/claude-code1 reaction · 4 comments
- Jun 8, 2026feat(skills): sync plugin workflows, add security guidance, and local-qa tooling — dceoy/ai-coding-agent-skills1 reaction
- Apr 17, 2026Import Claude and Copilot agents as Kiro agent configs — dwalleck/kiro-control-center1 reaction · 1 comment
- Apr 1, 2026plugin marketplace refresh causes error popups — microsoft/vscode1 reaction · 2 comments
- Mar 12, 2026Unable to install anthropics/claude-plugins-official marketplace: Invalid marketplace.json: plugins.56.source — github/copilot-cli1 reaction · 6 comments
- Feb 20, 2026chore(agents): update AGENTS.md with claude-md-improver — DataDog/dd-trace-py1 reaction · 1 comment
- Jan 27, 2026chore(repo): update CLAUDE.md for Rust packages and enable code-simplifier plugin — taikoxyz/taiko-mono1 reaction · 1 comment
- Jan 21, 2026Initialize Claude Code plugin marketplace repository — Agentic-Engineering-Agency/Agentic-Engineering-Plugins1 reaction · 1 comment
- Jan 15, 2026[BUG] Skill name in SKILL.md can only contain lowercase letters, numbers, and hyphens. (when uploading at claude.ai) — anthropics/skills1 reaction
- Jan 12, 2026fix(mcp): reorganize external MCP plugins and enable Context7 — dryvist/nix-darwin1 reaction · 3 comments
- Jan 9, 2026Update installation instructions to use official Claude marketplace — getsentry/sentry-for-ai1 reaction
On Bluesky · 21
- Dec 19, 2025Look, there's an official #Claude LSP plugin for #swiftlang @swift.org now! github.com/anthropics/c... github.com/anthropics/c... — @martinp7r.com6 likes and reposts
- May 23, 2026💎 Hidden Gem! 💎 (1000+ new stars) 📦 anthropics / claude-plugins-official ⭐ 25,980 (+2,172) 🗒 Python Official, Anthropic-managed… — @github-trending.bsky.social3 likes and reposts · 1 reply
- Feb 1, 2026🔥 Hot Repo! 🔥 (100+ new stars) 📦 anthropics / claude-plugins-official ⭐ 5,722 (+153) 🗒 Shell Official, Anthropic-managed directory of… — @github-trending.bsky.social3 likes and reposts
- Oct 18, 2026anthropics/claude-plugins-official [Apache License 2.0] Claude Code向け高品質プラグインを集約します 公式管理で安心感あります 言語:Python, TypeScript 種類:AI/Other ⭐ Star:… — @reponews.bsky.social2 likes and reposts
- May 22, 2026📈 Today's GitHub Trending: 1. https://github.com/anthropics/claude-plugins-official - Python, 2556 stars today 2.… — @ghtrend.newsmast.social.ap.brid.gy2 likes and reposts
16 more on Bluesky
- Mar 12, 2026🔥 Hot Repo! 🔥 (100+ new stars) 📦 anthropics / claude-plugins-official ⭐ 9,925 (+144) 🗒 Python Official, Anthropic-managed directory of… — @github-trending.bsky.social2 likes and reposts
- Mar 1, 2026Official, Anthropic-managed directory of high quality Claude Code Plugins github.com/anthropics/c... code.claude.com/docs/en/plug...… — @janmr.com2 likes and reposts
- Oct 18, 2026📈 Today's GitHub Trending: 1. https://github.com/MadsLorentzen/ai-job-search - Python, 2213 stars today 2.… — @ghtrend.newsmast.social.ap.brid.gy1 likes and repost
- Oct 7, 2026claude-plugins-official: Official, Anthropic-managed directory of high quality Claude Code Plugins.… — @latreon.bsky.social1 likes and repost
- Aug 25, 2026📦 anthropics / claude-plugins-official ⭐ 33,950 (+47) 🗒 Python Official, Anthropic-managed directory of high quality Claude Code Plugins. — @github-trending.bsky.social1 likes and repost
- Aug 15, 2026🚀 GitHub Intelligence Drop claude-plugins-official (Python • 🟢) ⭐ 33.5K → https://github.com/anthropics/claude-plugins-official… — @githubfeed.bsky.social1 likes and repost
- May 24, 2026📈 Today's GitHub Trending: 1. https://github.com/Lum1104/Understand-Anything - TypeScript, 3987 stars today 2.… — @ghtrend.newsmast.social.ap.brid.gy1 likes and repost · 3 replies
- May 23, 2026📈 Today's GitHub Trending: 1. https://github.com/Lum1104/Understand-Anything - TypeScript, 2331 stars today 2.… — @ghtrend.newsmast.social.ap.brid.gy1 likes and repost · 1 reply
- May 21, 2026📈 Today's GitHub Trending: 1. https://github.com/anthropics/claude-plugins-official - Python, 891 stars today 2.… — @ghtrend.newsmast.social.ap.brid.gy1 likes and repost · 1 reply
- May 19, 2026🔥 Hot Repo! 🔥 (100+ new stars) 📦 anthropics / claude-plugins-official ⭐ 19,816 (+127) 🗒 Python Official, Anthropic-managed directory of… — @github-trending.bsky.social1 likes and repost
- Mar 1, 2026anthropics / claude-plugins-official Official, Anthropic-managed directory of high quality Claude Code Plugins.… — @pythonhub.dev1 likes and repost
- Feb 4, 2026これはClaude Codeの機能を拡張する公式プラグイン群のディレクトリらしい 開発ワークフローの標準化や新しいAIエージェントの利用に期待できるかな yug1224 starred anthropics/claude-plugins-official… — @yug1224.com1 likes and repost
- Aug 29, 2026📈 Today's GitHub Trending: 1. https://github.com/tt-a1i/archify - JavaScript, 3927 stars today 2.… — @ghtrend.newsmast.social.ap.brid.gy0 likes and reposts · 1 reply
- Aug 29, 2026🚀 Skyrocketing! 🚀 (200+ new stars) 📦 anthropics / claude-plugins-official ⭐ 35,238 (+356) 🗒 Python Official, Anthropic-managed… — @github-trending.bsky.social0 likes and reposts · 1 reply
- Aug 28, 2026📈 Today's GitHub Trending: 1. https://github.com/tt-a1i/archify - JavaScript, 4561 stars today 2.… — @ghtrend.newsmast.social.ap.brid.gy0 likes and reposts · 1 reply
- Aug 26, 2026📈 Today's GitHub Trending: 1. https://github.com/tt-a1i/archify - HTML, 1002 stars today 2.… — @ghtrend.newsmast.social.ap.brid.gy0 likes and reposts · 1 reply
On YouTube · 17
- Oct 17, 2026Claude Plugins Official: Anthropic's Own Plugin Marketplace — Open Source Trend1k views
- Oct 24, 2026Don't use Claude Code until you install these 5 free plugins — Theo Renders1k views
- Nov 10, 2026Why you should be using the Claude Code plugin store #ai #coding #tips — Bouye | AI369 views
- Mar 15, 202665K+ Stars • AI | claude-plugins-official — Curated directory of high-quality Claude Code... #shorts — Neural-Nexus320 views
- Nov 14, 2026Claude Code Plugins: The 5 Most Installed (All Free) — Learn With Rabbany - Cloud & Cybersecurity261 views
12 more on YouTube
- Oct 18, 2026Claude Plugins — Trending on GitHub | Deal Stacks — Deal Stacks129 views
- Oct 31, 2026Best Claude Plugins for Claude Code: Anthropic's Top 7 by Installs — Prompt Vidya AI98 views
- Oct 18, 2026Claude Code Plugins: 105 Updated in 91 Minutes. Who Checks Them? — Skill MD46 views
- Nov 15, 2026Claude Code Mods: Make Your Own Animated Theme — TechUnboxed28 views
- Oct 12, 2026Claude Plugins for free! — ajc.trendingideas28 views · 1 comment
- Jul 18, 2026Claude Code Plugins & Skills Explained | Understand Custom Claude Code Plugins and Skills — ComputerMindCore18 views
- Nov 5, 20264 official Claude Code plugins, and #1 is insane. Paste into Claude Code: #Shorts — House of Claude13 views
- Nov 11, 2026Anthropic just opened an official plugin directory for Claude Code — GitHub Now8 views
- Nov 12, 2026#057 Anthropics Claude-Plugins-Official — NeuKare4 views
- Nov 12, 2026#070 Anthropics Claude-Plugins-Official — Genuine Patriot4 views
- Nov 11, 2026🚀 [Fastest Growing GitHub Repos] claude-plugins-official: The Free Tool Taking Over GitHub! #shorts — githubrepo_cloud3 views
- Jun 24, 2026anthropics/claude-plugins-official — 77 stars today on GitHub — DevTrends Daily0 views · 1 comment
On Hacker News · 1
- Apr 14, 2026Connect iMessage to your Claude Code assistant2 points
On the web · 1
- Nov 14, 2026anthropics/claude-plugins-official — GitHub trending stats ... — trendshift.io
In this repository56 other files it gives its agents.
- accessSkill
- configureSkill
- accessSkill
- configureSkill
- accessSkill
- configureSkill
- climbSkill
- faqSkill
- hackathonSkill
- maturitySkill
- office-hoursSkill
- patternsSkill
- routinesSkill
- claude-automation-recommenderSkill
- breakdown-diagnosisSkill
- breakdown-to-next-reportSkill
- custom-connectorSkill
- customer-inquiry-intakeSkill
- daily-production-reportSkill
- data-consolidateSkill
- inspection-to-capaSkill
- morning-plant-pulseSkill
- ncr-writeupSkill
- onboardingSkill
- quote-buildSkill
- rfq-to-quoteSkill
- root-cause-capaSkill
- supplier-escape-to-alternate-sourceSkill
- supplier-quote-requestSkill
- trade-study-reportSkill
- claude-md-improverSkill
- claude-securitySkill
- cardputer-buddySkill
- m5-onboardSkill
- example-commandSkill
- example-skillSkill
- frontend-designSkill
- writing-hookify-rulesSkill
- math-olympiadSkill
- siegeSkill
- soloSkill
- build-mcp-appSkill
- build-mcpbSkill
- build-mcp-serverSkill
- playgroundSkill
- agent-developmentSkill
- command-developmentSkill
- hook-developmentSkill
- mcp-integrationSkill
- plugin-settingsSkill
- plugin-structureSkill
- skill-developmentSkill
- project-artifactSkill
- receiptsSkill
- session-reportSkill
- skill-creatorSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 75
Read the model's parameters and report which ones are actually driving geometry.
- Distinctive: line 82
Before generating anything: which parameters, which ranges, which step or sampling strategy, and the resulting variant count, stated …
- Distinctive: line 137
The base model is never modified: Every variant is a new document or a clearly-named configuration, so there is nothing to approve or roll …
- Very specific: line 218
Not part of a named chain, but feeds trade-study-report directly — the same producer-consumer relationship breakdown-diagnosis has with …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Design Space Explore
An engineering team designing a part rarely has one answer. They have a design space — a range of possible designs bounded by what they're allowed to vary (wall thickness, rib count, hole pattern, material) and what the part must satisfy (envelope, mass, load, cost, manufacturability). Modeling one design at a time, by hand, means evaluating three to five options and picking the best of a small set. This skill generates many at once, directly in the CAD tool the engineer already has open.
It does not design from scratch. It takes a model the engineer already has and generates variants of it — that constraint is what makes the output trustworthy and reviewable rather than a pile of new geometry nobody asked for.
It does not run analysis. It produces the variants and the manifest
describing them, so an analysis tool or a person evaluates each one and
returns results, which trade-study-report then consumes.
Quick start
→ Connect: Fusion, with the base model open in the desktop app
→ Read the model's parameter set. Not driving what was asked? Stop and say so
→ Confirm the variant plan — parameters, ranges, step, and the resulting count
→ Generate. Verify each regenerated; failures at range extremes are expected
→ Capture per-variant properties: parameter values, mass, volume, bounding box
→ Produce the manifest in the shape trade-study-report consumes
→ Never touch the base model. Variants are new documents, clearly namedInputs
| Input | Source | Form |
| The base model | Fusion (open desktop document) | Live CAD connection |
| Parameters to vary, with ranges | Engineer, in conversation | Conversation |
| Constraints | Engineer, in conversation, and the trade study definition | Conversation / document |
| Trade study targets and criteria | trade-study-report definition, or a document in M365 | Document |
| Prior variants and results | M365 | Documents |
Workflow
Step 1 — Connect to the CAD environment
One implementation, Fusion, behind one interface. Read
reference/cad-adapter.md for the interface and the connector behaviors that
break a naive script.
- Fusion — desktop only, and acts on the open document via command-based operations on live geometry. There is no server-side fetch path; if the document is not open on the user's machine, there is nothing to act on.
Record the backend as cad_backend on the manifest, so a second CAD
connector drops in later without a contract change.
Step 2 — Read the parameter set, and check what actually drives it
This check comes first, before anything else, and it is the single
biggest practical risk in the skill. A parametric model is built from
driving dimensions — change wall_thickness and the geometry regenerates.
Many real production models are not properly parametric, and automated
variant generation on one that isn't will not work.
Read the model's parameters and report which ones are actually driving
geometry. Where a parameter the engineer wants to vary is not a driving
dimension, stop and say so rather than generating variants that silently
ignore it. Read reference/parametric-check.md.
Step 3 — Confirm the variant plan
Before generating anything: which parameters, which ranges, which step or sampling strategy, and the resulting variant count, stated plainly.
Generating 200 variants nobody asked for is the obvious failure. Five
parameters at five values each is 3,125 combinations — show the count and
get an explicit yes before the batch runs. Read
reference/variant-generation.md.
Step 4 — Generate, and verify each one
Apply each confirmed parameter set to the existing model. After each,
verify the model regenerated without error. The open, save-as-new, apply and
untouched-check sequence is reference/adapt-prior-model.md — the same
mechanism rfq-to-quote uses to adapt a prior part's model.
A failed regeneration is expected, not a bug — geometry that self-intersects or a feature that fails to rebuild at a range extreme happens routinely and does not abort the batch. Report it per variant, with what failed.
Step 5 — Capture per-variant properties
Parameter values, mass, volume, bounding box, and any other property the model computed.
A property the model could not compute is absent, not zero. A variant with no mass reading is unmeasured, not massless, and reporting it as zero would win a lower-is-better weight criterion outright.
Step 6 — Produce the handoff manifest
One row per variant — its ID, its parameter values, its computed
properties, its status, and its document reference — per
../../shared/contracts/variant-manifest.md, in exactly the shape
trade-study-report consumes.
A failed or skipped variant stays in the manifest, never dropped. A dropped row is indistinguishable from a variant nobody considered, and the trade study would then report a design space narrower than the one actually explored.
Step 7 — Never touch the base model
Variants are new documents, or clearly-named configurations of the base — never a modification in place. State what was created, and where.
Approval gates
Nothing generates without the variant plan being confirmed — parameters, ranges, and the resulting count, agreed before the batch runs. This is the skill's one real chance to prevent a runaway job; a live CAD connection generates 3,000 low-value variants exactly as easily as 30 good ones.
The base model is never modified. Every variant is a new document or a clearly-named configuration, so there is nothing to approve or roll back on the original.
This skill does not run analysis and does not decide anything about the
trade study — it hands the manifest off. trade-study-report and the
engineer own what happens next.
Output
Every document this skill produces is printed in the reply, in full.
Saving a copy to a file as well is fine, as Word or Excel per ../../shared/replies.md, never .txt; a file instead of the reply is not.
The person reads the reply, and every delimited block and outbound check lives
in it — a document only on disk has been neither seen nor checked.
A record handed to another skill is saved and summarised, never pasted as
raw YAML; memory blocks are written where the plant's memory lives; and the
name on an approval is asked, never taken from the account. All three per
../../shared/replies.md.
The generated variants, in the CAD system, consistently named and traceable back to their parameter set.
The variant manifest — per
../../shared/contracts/variant-manifest.md: the parameters varied, the
parametric check result, and per variant its ID, parameter values, computed
properties, status, and document reference.
The generation report — what succeeded, what failed to regenerate and
why, what was skipped and why. Rendered in the house artifact style
(../../shared/artifact-style.md) when there is enough of a batch to be
worth referring back to.
The handoff package — the manifest plus the generation report, ready for
an analysis tool or a person to evaluate and return results into, which
trade-study-report then consumes.
Edge cases and failure modes
- The base model isn't properly parametric — the most likely real-world blocker. Detect and report before generating anything.
- Fusion isn't open, or the customer uses Fusion's web client — the connector cannot work at all. Detect and say so plainly; there is no server-side fetch path.
- The connector replays an earlier script — geometry nobody asked for
appears, or read-only calls fail with "cannot modify." Stop and ask the user
to restart Fusion; see
reference/cad-adapter.md. - Geometry fails to regenerate at a range extreme — expected. Report it per variant; do not abort the batch.
- The parameter combination count explodes — five parameters at five values is 3,125. Always show the count and confirm before generating.
- The model has external references or in-context relationships — variant generation can break them. Detect and warn before generating.
- CAD operations are slow — this is a long-running batch, not a single blocking call. Design for progress reporting, not silence until it finishes.
Degradation
One CAD tool, on one platform. The skill works for customers running Fusion on the desktop, with no cloud path. There is no fallback CAD backend — no connector currently reaches SolidWorks, Creo, NX or Inventor, so a customer on any of those has no path to this skill at all. State that plainly rather than letting a prospect discover it for the first time in a demo. Keep the CAD-adapter layer regardless, so a CAD connector appearing later drops in without a redesign.
If Fusion is not available — the skill cannot generate variants and says
so, naming exactly what is needed: Fusion desktop with the document open.
trade-study-report is unaffected — its manifest can be hand-authored by an
engineer with no CAD backend at all, per its own contract.
Chain position
Not part of a named chain, but feeds trade-study-report directly — the
same producer-consumer relationship breakdown-diagnosis has with
daily-production-report in Chain 4.
Metric. Configurations evaluated per program; design cycle time.
Reference files
| File | Load when |
reference/cad-adapter.md | Step 1 — the backend behind the interface, and the connector behaviors to read before the first call |
reference/parametric-check.md | Step 2 — always, before generating anything |
reference/variant-generation.md | Steps 3 to 7 — confirming the plan, generating, and the manifest |
reference/adapt-prior-model.md | Steps 4 and 7 — open the base, save as new, apply, confirm the base is untouched |
../../shared/contracts/variant-manifest.md | On emit — the exact shape trade-study-report consumes |
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

