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SkillsMP は ahrav/Gossip-rs から 85 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 85 件中 40 件を表示しています。
Consolidate all /review-capture drop files for the current branch into a single verified, deduplicated, conflict-annotated merged plan. Verifies each finding against HEAD (discarding stale ones), merges duplicates across reviewers, flags conflicting suggested…
原文の言語: 英語
Wrapper skill that invokes any review skill/command and captures its findings into a structured YAML drop file under .claude/review-drops/<branch>/. Use when running parallel code reviews across multiple terminals (each terminal captures one reviewer's…
原文の言語: 英語
Use when creating any beads task — auto-researches the codebase, links related tasks, and produces a rich self-contained description from a structured template. Accepts minimal intent and outputs a complete task ready for agent implementation.
原文の言語: 英語
Use when you want review AND automated fixes in one pass, when /review-dispatch alone would leave findings unaddressed, or before merging a feature branch that needs thorough diagnosis and remediation. Two-phase diagnose-then-fix pipeline.
原文の言語: 英語
Use when a beads task exists and needs validation before implementation — verifies codebase references, identifies edge cases and design flaws, assesses scope and feasibility, splits oversized tasks, dispatches domain-specific skills (test-strategy,…
原文の言語: 英語
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…
原文の言語: 英語
Use when you have code review findings, PR comments, or review reports that need to be systematically addressed — especially when there are multiple findings across different files and severities
原文の言語: 英語
Use when you have code review findings, PR comments, or review reports that need to be systematically addressed — especially when there are multiple findings across different files and severities
原文の言語: 英語
Analyze code for complexity hotspots and suggest simplifications. Identifies functions exceeding evidence-based LOC and nesting thresholds, classifies complexity as essential (domain-inherent, leave alone) or accidental (reducible), and produces actionable…
原文の言語: 英語
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…
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
Use when designing safety-critical code, distributed protocols, or novel algorithms where getting the design wrong is expensive. Parallel research agents survey papers, production systems, and prior art, then synthesize into an evidence-backed codebase plan.
原文の言語: 英語
Use when /deep-research isn't thorough enough, when a topic needs adversarial challenge and deep-dive elaboration, or when producing a polished research report for a complex design decision. 6-phase funnel with 8-10 parallel survey agents plus adversarial…
原文の言語: 英語
Use when the user wants to launch a runbook, run an audit, review, or analysis task via Jetty, or says "run the X runbook". Also triggers on "launch runbook", "execute runbook", "run dedup-audit", "run security-reviewer", or any request to run a task from…
原文の言語: 英語
Use when /bench-compare or /perf-regression identifies a regression needing root cause, when multiple performance dimensions need simultaneous triage, or when optimization work should be dispatched automatically. Two-phase diagnose-then-optimize pipeline.
原文の言語: 英語
Use when writing or reviewing TLA+ specifications for coordination protocols, when verifying safety/liveness properties of distributed algorithms, or when TLC model checking fails and you need diagnostic guidance. Evidence-backed TLA+ correctness methodology.
原文の言語: 英語
Use when /performance-analyzer identifies a hot function, when /bench-compare shows regression and you need instruction-level analysis, or when you suspect bounds checks or register spills in a tight loop. ASM-guided optimization with cargo-show-asm +…
原文の言語: 英語
Use when measuring optimization impact against a baseline, when validating that a code change didn't regress performance, or when comparing two implementation approaches. Criterion benchmark baseline comparison workflow.
原文の言語: 英語
Use when facing a design decision with multiple viable approaches, when you want competing proposals evaluated objectively, or when brainstorming needs structured diverge-then-converge evaluation. 3-5 independent design agents plus ranked synthesis.
原文の言語: 英語
Use when adding or modifying coordination protocols, implementing consensus or gossip mechanisms, or changing distributed state management. Audits designs against academic literature and battle-tested systems with citation requirements.
原文の言語: 英語
Use when design docs in docs/ may be stale after code changes, when verifying diagrams match current types, or when checking that prose claims about invariants and APIs still hold. Audits documentation against code reality with incremental and full modes.
原文の言語: 英語
Use when writing or updating documentation that makes API claims, includes command examples, or states platform-specific behavior. Write-then-verify pipeline where a fresh agent checks accuracy against code reality with zero confirmation bias.
原文の言語: 英語
Use when /doc-rigor has written or updated documentation and you need independent accuracy verification, or when existing docs may contain stale API claims or wrong command examples. Fresh-agent verification against code reality.
原文の言語: 英語
Use when the learning guide may be stale after codebase changes, when types have been renamed or modules deleted, or when verifying guide code examples still compile. Synchronizes gossip-rs-learning-guide with current codebase state.
原文の言語: 英語
Use when designing new public APIs, adding trait methods, or refactoring type signatures to ensure they are easy to use correctly and hard to use incorrectly. Reviews Rust interfaces for misuse resistance.
原文の言語: 英語
Use when writing or reviewing state-machine tests, simulation tests, oracle tests, or regression tests to verify they actually prove the claimed invariant. Catches hidden weaknesses like missing negative paths and order-sensitive comparisons.
原文の言語: 英語
Use when validating coordination correctness under real network partitions, when DST passes but you suspect distributed bugs, or before releasing coordination protocol changes. Runs Jepsen-style cluster tests via Maelstrom or full Jepsen.
原文の言語: 英語
Use when profiling on Linux/ARM/Graviton targets, when you need PMU counter data beyond what flamegraphs show, or when /perf-topdown identifies a bottleneck class that needs source-level drill-down. Deep perf profiling with annotated hotspot analysis.
原文の言語: 英語
Use when modifying hot-path code in coordination or scanner engine, before merging performance-sensitive changes, or when CI benchmarks flag a regression. Performance regression testing with before/after comparison.
原文の言語: 英語
Use when you need to classify why code is slow (front-end vs back-end vs speculation), when hunting branch misprediction sites, after /bench-compare or /perf-regression finds a regression needing root cause, or when building an isolated hot-loop harness.…
原文の言語: 英語
Use when writing hot-path code in coordination or scanner engine, before committing changes to scanner-engine modules, when benchmarks show unexpected regressions, or during optimization of gossip-stdx data structures. Static performance analysis.
原文の言語: 英語
Use when designing or auditing PostgreSQL schemas, reviewing migrations for lock safety, investigating query performance, or optimizing indexes and partitioning. Connects to the database for concrete evidence via EXPLAIN ANALYZE and pg_stat_* views.
原文の言語: 英語
Use when PR review comments claim a bug or incorrect behavior, when multiple reviewer comments need systematic triage, or when a correctness claim needs proof before changing code. Verify-first PR comment response with evidence-based fixes.
原文の言語: 英語
Use when preparing to merge a feature branch, after completing a significant implementation, or when critical code paths need deeper review than a single pass. Six parallel specialist agents plus ranked synthesis.
原文の言語: 英語
Use when adding or modifying rules in default_rules.yaml, when benchmarking rule performance against test corpuses, or when validating regex anchors and keyword choices. Detection rule edit-bench-compare workflow.
原文の言語: 英語
Use when testing gossip-contracts or gossip-stdx data structures for crashes, when verifying new Arbitrary impls, or when reproducing a fuzz crash artifact. Runs cargo-fuzz targets with nightly toolchain.
原文の言語: 英語
Use when modifying unsafe blocks, adding parsing or decoding logic, changing buffer pool or scratch internals, or before merging changes to data structure implementations with raw pointers. Memory safety and security audit.
原文の言語: 英語
Use when modifying gossip-coordination or coordination contracts, after adding trait methods to CoordinationBackend, after changing state machine transitions, or before marking coordination PRs ready. DST-compatibility code review.
原文の言語: 英語
Use when sanity-checking coordination changes before commit, before merging coordination PRs, when a coordination bug is suspected, or when verifying a simulation-found fix. Progressive DST execution with seed management and fault injection.
原文の言語: 英語