.codex/skills/archive-full/SKILL.md
Use when the user wants to package all source code into a tar.gz archive for upload or checkpoint. Creates a comprehensive archive of all workspace crates, docs, and config excluding binaries.
npx skillsauth add ahrav/gossip-rs archive-fullInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Package all git-tracked files from the workspace into a single .tar.gz archive, excluding binaries.
All git-tracked files across the workspace, including:
crates/*/src/** and crates/*/tests/** - All crate source and testsCargo.toml, Cargo.lock - Workspace manifest and lockfiledocs/, diagrams/, specs/ - Documentation and specifications.github/, .claude/, etc.)*.pack, *.bin, *.so, *.dylib, *.a)perf.data)Run from the project root:
TIMESTAMP=$(date +%Y%m%d-%H%M%S)
ARCHIVE="gossip-rs-full-${TIMESTAMP}.tar.gz"
git ls-files -z \
| grep -zZv -e '\.pack$' -e '\.bin$' -e '\.so$' -e '\.dylib$' -e '\.a$' -e 'perf\.data' \
| tar czf "${ARCHIVE}" --null -T -
echo "Created ${ARCHIVE} ($(du -h "${ARCHIVE}" | cut -f1))"
Report the archive name and size to the user when done.
development
Deep first-principles code explanation that builds real understanding through phased walkthroughs with diagrams. Covers algorithms, data structures, memory layout, concurrency patterns, and performance tricks — especially for systems code in Rust. Use whenever the user asks to explain, walk through, break down, deep dive into, or understand code. Trigger on "how does this work", "what's happening here", "teach me about this", "why is it done this way", or when the user references a file with @ and wants to understand it. Proactively use when examining code involving lock-free algorithms, atomics/CAS, memory ordering,
development
Use when creating implementation-ready beads tasks that need testing strategy, optimal implementation approach, and documentation requirements baked in — composes /create-task with parallel enrichment agents that analyze the codebase and produce concrete test specifications, algorithm/data-structure guidance, and doc quality standards so implementing agents don't need to re-research
development
--- name: autoresearch description: Autonomous Goal-directed Iteration. Apply Karpathy's autoresearch principles to ANY task. Loops autonomously — modify, verify, keep/discard, repeat. Supports bounded iteration via Iterations: N inline config. version: 1.9.11 --- # Claude Autoresearch — Autonomous Goal-directed Iteration Inspired by [Karpathy's autoresearch](https://github.com/karpathy/autoresearch). Applies constraint-driven autonomous iteration to ANY work — not just ML research. **Core id
development
Use when implementing a new feature and assessing coverage gaps, during periodic test hygiene, when test suites feel bloated, or before merging code that changes coordination or hot paths. Two-phase assess-then-improve testing pipeline.