rust-development
Skill4 starsChanged 3 months agoApache-2.0View on GitHub
Give any Horonom repo with a Rust workspace the company-common Cargo/ nextest/clippy execution knowledge — repository discovery, the cargo check vs. build/link/native boundary, targeted test iteration, and lint/format/doc validation. It reuses the durable Rust-development evidence from ai-agent-assembly/agent-assembly's AAASM-5991/5992 benchmark campaign rather than re-deriving it, while keeping that repo's own machine/benchmark specifics out of company-wide fact — see references/aa-evidence-classification.md for exactly which claims transfer and which don't. Auto-used, stack-gated. Applies whenever the touched repo/surface carries Rust evidence (Cargo.toml, per manifest.yaml's applicability.stacks:…
10 other projects use a version of this.
Adopted by
Most recently taken up by
- salasebas/skillstheir own version, first seen Nov 8, 2026
- 1bye/raketheir own version, first seen Nov 8, 2026
- cosmonic-labs/skillstheir own version, first seen Oct 12, 2026
- tstapler/dotfilestheir own version, first seen Oct 10, 2026
- sammcj/agentic-codingtheir own version, first seen Oct 8, 2026
- navikt/copilottheir own version, first seen Sep 14, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- sammcj/agentic-coding★ 169same name
- 1bye/rake★ 131same name
- navikt/copilot★ 61same name
- cosmonic-labs/skills★ 21same name
- tstapler/dotfiles★ 8same name
- thrashr888/thrashr888-agent-kit★ 5same name
- carloss765/agent-skills★ 1same name
- fatihaydin9/rust-development-skill★ 1same name
- feamcor/skills★ 1same name
- salasebas/skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository21 other files it gives its agents.
- .claude/CLAUDE.mdCLAUDE.md
- adr-governanceSkill
- credential-operationsSkill
- documentation-experienceSkill
- engineering-loopSkill
- governance-doctorSkill
- homebrew-tap-mergeSkill
- jira-deliverySkill
- product-validationSkill
- public-release-reconcileSkill
- release-assuranceSkill
- release-docs-syncSkill
- release-evidence-finalizeSkill
- release-qa-gateSkill
- release-security-gateSkill
- release-tag-cutSkill
- release-validate-channelsSkill
- repo-bootstrapSkill
- repo-scaffoldSkill
- shell-developmentSkill
- terraform-developmentSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 51
Discover the workspace: before running anything — references/cargo-workflow.md § Repository/workspace discovery.
- Very specific: line 61
Escalate (engineering-loop): read the actual rustc/clippy diagnostic before assuming a fix — references/cargo-workflow.md § High-signal …
- Very specific: line 64
Full Gate (engineering-loop, always): before declaring a Rust change done, run the repo's own authoritative full build/test/clippy gate.
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
<!-- horonom:generated --><!-- Source: horonomy/.github agents/skills/rust-development/SKILL.md. Do not hand-edit — rerun `python3 agents/common/project_skills.py`. -->SKILL.md — rust-development
Purpose
Give any Horonom repo with a Rust workspace the company-common Cargo/
nextest/clippy execution knowledge — repository discovery, the
cargo check vs. build/link/native boundary, targeted test iteration,
and lint/format/doc validation. It reuses the durable Rust-development
evidence from ai-agent-assembly/agent-assembly's AAASM-5991/5992
benchmark campaign rather than re-deriving it, while keeping that repo's
own machine/benchmark specifics out of company-wide fact — see
references/aa-evidence-classification.md for exactly which claims
transfer and which don't.
Type
Auto-used, stack-gated. Applies whenever the touched repo/surface carries
Rust evidence (Cargo.toml, per manifest.yaml's applicability.stacks:
[rust]). Composes with engineering-loop
(agents/skills/engineering-loop/SKILL.md) — that skill owns the
Explore→Narrow→Validate→Escalate→Full Gate execution model and the L0–L3
diagnostic contract; this skill does not restate either. It supplies the
concrete Cargo/nextest/clippy commands engineering-loop's Narrow and
Full Gate stages call.
When to use
- Iterating on a change inside a Rust crate or workspace: editing, compiling, testing, linting.
- Choosing the right-sized Cargo/nextest invocation for the current execution stage (fast edit vs. targeted test vs. full verification).
- Interpreting a Cargo/rustc/clippy/nextest failure before escalating
through
engineering-loop's diagnostic ladder.
When NOT to use
- Non-Rust repos or surfaces — no Rust evidence means this skill does not apply; don't project or follow it merely because the org has it.
- As a substitute for
engineering-loop's execution model or diagnostic contract — this skill never redefines Explore/Narrow/Validate/Escalate/ Full Gate, it only fills in the Rust-specific commands for each stage. - As a source of release/dist-profile guidance — release/dist profile
tuning is a correctness/size boundary, not a dev-speed lever, and is out
of this skill's scope (see
references/cargo-workflow.md).
Routing
- Discover the workspace before running anything —
references/cargo-workflow.md§ Repository/workspace discovery. - Narrow stage (engineering-loop):
cargo checkgives the fastest syntax/type feedback but is never build/link/native/release proof — it skips codegen and linking, so it cannot surface link errors, native/FFI symbol-resolution failures, build-script problems,#[cfg]-gated codegen failures, or release-profile-only breakage (LTO,codegen-units,panic=abort). Scope everycargo nextest runinvocation (--lib,--test <stem>, or-p <crate>at minimum) — seereferences/cargo-workflow.md§ Targeted test loops. - Escalate (engineering-loop): read the actual rustc/clippy
diagnostic before assuming a fix —
references/cargo-workflow.md§ High-signal diagnostics. - Full Gate (engineering-loop, always): before declaring a Rust
change done, run the repo's own authoritative full build/test/clippy
gate. A passing
cargo checkor scopednextestrun is evidence the fix works, never proof the workspace is releasable. - Optional accelerators (RTK/CodeGraph) follow the shared
preferred→fallback contract in
agents/skills/engineering-loop/references/optional-tool-fallback.md— this skill does not define its own variant of that contract.
References
references/cargo-workflow.md— discovery, the check/build/link/native boundary, targeted test/lint/doc commands, high-signal diagnostics.references/aa-evidence-classification.md— what fromai-agent-assembly/agent-assembly's bench-5992 evidence is a reusable company-level Rust pattern vs. AA-specific fact vs. machine-specific vs. needing revalidation, and the deference rule to that repo's own policy.
Examples
examples/targeted-nextest-then-full-gate.md— a failing test, targetedcargo nextest run --libiteration, then the full workspace gate before declaring the change done.
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.

