Nx Generate
nomcopter/react-mosaic
Generate code using nx generators. An agent skill from nomcopter/react-mosaic.
Strip AI-codegen cruft from a branch — defensive checks the type system should make unrepresentable, redundant validation, speculative abstraction, no-op wrappers — while preserving load-bearing…
$ npx skills add imbue-ai/offload --skill deburr-edge-cases -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install imbue-ai/offload deburr-edge-cases --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/imbue-ai/offload.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/deburr-edge-cases .claude/skills/deburr-edge-cases && rm -rf skills-srcUse ~/.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/
Install the "deburr-edge-cases" agent skill from https://github.com/imbue-ai/offload/tree/main/.agents/skills/deburr-edge-cases into .claude/skills/deburr-edge-cases/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deburr-edge-cases", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/imbue-ai/offload/tree/main/.agents/skills/deburr-edge-casesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add imbue-ai/offload --skill deburr-edge-cases -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install imbue-ai/offload deburr-edge-cases --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imbue-ai/offload.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/deburr-edge-cases .agents/skills/deburr-edge-cases && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deburr-edge-cases" agent skill from https://github.com/imbue-ai/offload/tree/main/.agents/skills/deburr-edge-cases into .agents/skills/deburr-edge-cases/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deburr-edge-cases", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add imbue-ai/offload --skill deburr-edge-cases -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install imbue-ai/offload deburr-edge-cases --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imbue-ai/offload.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/deburr-edge-cases .cursor/skills/deburr-edge-cases && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deburr-edge-cases" agent skill from https://github.com/imbue-ai/offload/tree/main/.agents/skills/deburr-edge-cases into .cursor/skills/deburr-edge-cases/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deburr-edge-cases", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/imbue-ai/offload.git --path .agents/skills/deburr-edge-cases--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add imbue-ai/offload --skill deburr-edge-cases -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install imbue-ai/offload deburr-edge-cases --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imbue-ai/offload.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/deburr-edge-cases .gemini/skills/deburr-edge-cases && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "deburr-edge-cases" agent skill from https://github.com/imbue-ai/offload/tree/main/.agents/skills/deburr-edge-cases into .gemini/skills/deburr-edge-cases/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deburr-edge-cases", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install imbue-ai/offload deburr-edge-casesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add imbue-ai/offload --skill deburr-edge-cases -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/imbue-ai/offload.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/deburr-edge-cases .github/skills/deburr-edge-cases && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "deburr-edge-cases" agent skill from https://github.com/imbue-ai/offload/tree/main/.agents/skills/deburr-edge-cases into .github/skills/deburr-edge-cases/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deburr-edge-cases", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add imbue-ai/offload --skill deburr-edge-cases -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install imbue-ai/offload deburr-edge-cases --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imbue-ai/offload.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/deburr-edge-cases .opencode/skills/deburr-edge-cases && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deburr-edge-cases" agent skill from https://github.com/imbue-ai/offload/tree/main/.agents/skills/deburr-edge-cases into .opencode/skills/deburr-edge-cases/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deburr-edge-cases", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
deburr-edge-casesStrip AI-codegen cruft from a branch — defensive checks the type system should make unrepresentable, redundant validation, speculative abstraction, no-op wrappers — while preserving load-bearing…
Deburr Edge Cases is an agent skill from imbue-ai/offload. Strip AI-codegen cruft from a branch — defensive checks the type system should make unrepresentable, redundant validation, speculative abstraction, no-op wrappers — while preserving load-bearing seams. Use after a feature lands and before merge, when asked to "simplify", "de-ornament", "remove cruft", "make erroneous states unrepresentable", or "clean up" a diff.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Project scaffolding. The repository describes itself as: Offload your test computation to ephemeral compute. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d3675da. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
cargoFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Deburr Edge Cases loads about 2.5k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 1,360 words of instructions outside code blocks.
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.
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); files beside SKILL.md are not scanned.
The full file from imbue-ai/offload at commit d3675da, republished under its MIT licence (© imbue-ai). 1,360 words, ~2,499 tokens.
.claude/skills/deburr-edge-cases/SKILL.md (or your agent's skills folder).<!-- Generated by rust-bucket v0.9.7. DO NOT EDIT BY HAND. -->
A structured pass to remove accumulated cruft from a branch — particularly the failure mode where code solves, at a narrow local layer, a problem that should be addressed globally or structurally. The canonical example: instead of enforcing design intent in the type system (making erroneous states unrepresentable), the code accumulates defensive runtime checks to detect and flag bad states that a better type would forbid at compile time.
This is a quality pass, not a bug hunt. Every change must be behavior-preserving, with the existing test suite as the safety net. It complements a correctness-focused review (which hunts bugs); route bug findings there, not here. If you trip over a genuine correctness bug mid-pass, note and surface it separately — do not fix it as part of this pass.
A recognizable shape — an unwrap_or, a single-impl trait — is a prompt to ask whether the
construct earns its keep here, not a finding in itself. Reason about intent and invariants, not
form.
Option<bool>, a sentinel (""/-1/0) standing in for an Option/enum, a field validated
on every read rather than made unconstructable-when-invalid, or a "this can't happen" guard.Do not strip things that earn their keep. Call them out as intentional rather than flagging them:
AtomicBool guard through a
shared &self can't be replaced by take-by-value Option if the caller holds &self).AsyncWrite) that has a real second caller in tests.When unsure whether something is cruft or load-bearing: it is load-bearing until proven otherwise. Default to keeping.
Finding no ornamentation is a valid and common result — especially on small or already-tight diffs. Report "clean" rather than inventing a finding to justify the pass.
Run the steps directly, or route the fan-out and edits through whatever review/delegation process the repo otherwise follows. Keep edits one-at-a-time and behavior-preserving, and review each before moving on. Match effort to the diff: for a few files, scan and fix directly; the clustering and per-cluster fan-out below are for large, multi-author branches.
Compute the cumulative branch diff against the merge base and list the changed source files, excluding generated/state files (lockfiles, task-tracker state) unless relevant. This is the review surface.
Partition the changed files into coherent clusters (e.g. parse/types, registry/storage, config/state-modeling, wiring/transport). Take one cluster at a time — or, if the repo supports parallel read-only reviewers, one reviewer per cluster. For each, apply:
cargo check --all-targets before reporting,file:location; the specific cruft; a crisp remedy
(prefer "replace runtime check X with type Y"); behavior-preserving vs. behavior-changing.Separate clear wins from judgment calls, and name anything judged intentional / load-bearing so it is not re-litigated. The review stage reports findings only — it does not edit.
Merge the findings. Drop:
Option<bool> → Option<Resolved> so the bad state is
unrepresentable); the rest are small isolated cleanups.Take one finding (or one tightly-coupled pair) at a time. Pin the exact contract before editing — especially for a structural refactor, write the target type design and the invariant truth-table the change must preserve, plus a test-migration map (migrate tests to the new shape; never weaken assertions to pass). Execute in increasing invasiveness: small, isolated, behavior-preserving cleanups first; the big structural remodel last, on an already-cleaned base. After each change, verify cargo and review it before moving on. If no existing test exercises the changed path, the suite is not a safety net for it — add a characterization test first, or lower the finding's confidence and flag the gap.
Before deleting a "no-op", confirm it is one. A classic trap: a let _ = (&field, …) discard or
an #[allow] that looks ornamental but actually suppresses a real dead_code/lint warning
(e.g. #[derive(Deserialize)] does not count as a read, and #[derive(Debug)] is ignored by
dead-code analysis — so fields only read via derives genuinely warn). If removing the "cruft"
produces a warning or breaks a check, restore it and report rather than deleting into a broken
build. Don't trade ornament for a warning.
Run the full check suite on the whole de-ornamented stack: cargo fmt --check,
cargo clippy --all-targets --all-features, cargo nextest run, ratchets check. Confirm no
assertion was weakened or deleted to make a change pass — tests that only covered genuinely-removed
code may go with it, but everything else must be migrated, not loosened.
enabled: Option<bool> rewritten
None → Some(true) at assembly and read via unwrap_or(false), then carried dead into a
component that only exists when enabled. Fix: split the parse DTO from a resolved type; make the
consumer field Option<ResolvedConfig> with no enabled field, so "disabled" = None by
construction. Deletes the rewrite, the accessor, the unwrap_or, the dead field, and the
explanatory comments that existed only to compensate for the confusing type.Option. A helper returning an owned String with "" meaning "absent",
forcing a downstream !is_empty() && … guard. Fix: return Option<&str>; the guard and an
allocation vanish.struct FooThing; whose only purpose is
to host one associated fn that is never called on an instance and implements no trait. Fix:
make it a module-level free fn, delete the struct/impl. (Distinguish from the real seam —
the trait + concrete type it delegates to — which stays.)summarize() that just returns self.list(), with no
override and one caller. Fix: delete it; the caller uses list(). Reintroduce only if a second,
genuinely-distinct behavior ever materializes.© imbue-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/deburr-edge-cases of imbue-ai/offload.
Open the folder on GitHubat commit d3675da
Deburr Edge Cases 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Deburr Edge Cases this skillimbue-ai/offload | 125 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Nx Generatenomcopter/react-mosaic | 4.8k | 7 repos | ~1.9k | Automated safety check: Pass | Custom licence | |
| PonytailDavidObando/gsharp | 565 | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Run Nx Generatornrwl/nx | 29k | 2 repos | ~592 | Automated safety check: Notes | MIT | |
| Conductor Setupgemini-cli-extensions/conductor | 3.8k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Mirage VFS Adapter Authoringstrukto-ai/mirage | 3.7k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
nomcopter/react-mosaic
Generate code using nx generators. An agent skill from nomcopter/react-mosaic.
DavidObando/gsharp
Forces the laziest solution that actually works, simplest, shortest, most minimal.
nrwl/nx
Run Nx generators with prioritization for workspace-plugin generators.
gemini-cli-extensions/conductor
Scaffolds the project and sets up the Conductor environment.
strukto-ai/mirage
Builds or extends a custom Mirage virtual filesystem adapter for an API, database, object store or app data, with a working mount configuration and filesystem tests.
siteboon/claudecodeui
Enforces this repository's TypeScript backend module architecture under server/: feature folders, barrel exports, and where shared types and utilities belong.
imbue-ai/offload
Activate when you see offload.toml in a repo, offload referenced in build targets (justfile, Makefile, scripts), or when you need to run a large test suite in parallel.
imbue-ai/offload
Run local vs Offload benchmarks for mng and sculptor, then update the Benchmarks section of the Offload README.
imbue-ai/offload
Cut a release of a Rust crate and publish to crates.io, with externally-gated merge and publish steps.
imbue-ai/offload
Onboard a repository to use Offload for parallel test execution on Modal.
Categories
Strip AI-codegen cruft from a branch — defensive checks the type system should make unrepresentable, redundant validation, speculative abstraction, no-op wrappers — while preserving load-bearing…. Deburr Edge Cases is an agent skill from imbue-ai/offload. Strip AI-codegen cruft from a branch — defensive checks the type system should make unrepresentable, redundant validation, speculative abstraction, no-op wrappers — while preserving load-bearing seams.
Deburr Edge Cases fits situations like: tasks that involve Project scaffolding.
Run `npx skills add imbue-ai/offload --skill deburr-edge-cases -a claude-code`. Or copy the skill folder (.agents/skills/deburr-edge-cases in imbue-ai/offload) into .claude/skills/deburr-edge-cases in your project. Claude Code loads it when a task matches its description.
Run `npx skills add imbue-ai/offload --skill deburr-edge-cases -a codex`. Or copy the skill folder (.agents/skills/deburr-edge-cases in imbue-ai/offload) into .agents/skills/deburr-edge-cases in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add imbue-ai/offload --skill deburr-edge-cases -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deburr-edge-cases, .gemini/skills/deburr-edge-cases, .github/skills/deburr-edge-cases and .opencode/skills/deburr-edge-cases in your project.
Going by SKILL.md and its folder, Deburr Edge Cases needs the command-line tools its instructions call (cargo).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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. Review the folder before installing.
Deburr Edge Cases is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Deburr Edge Cases: Nx Generate (nomcopter/react-mosaic, 4.8k stars), Ponytail (DavidObando/gsharp, 565 stars), Run Nx Generator (nrwl/nx, 29k stars) and Conductor Setup (gemini-cli-extensions/conductor, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
imbue-ai (a GitHub organization) maintains it in imbue-ai/offload, which has 125 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 25, 2026.
Source: imbue-ai/offload on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.