Activates a military-grade structured reasoning system for complex analytical tasks, debugging, architecture design, strategic decisions, and optimization problems. This skill transforms the agent into a disciplined thinker that decomposes problems, validates every assumption, scores its own confidence, and detects…
Reviews code diffs after implementation, auto-fixes safe issues, and runs specialist security and architecture reviewers on large diffs. Also triages issues and PRs when the user mentions them. Not for exploring ideas or debugging.
This skill should be used when the user asks to "diagnose context problems", "fix lost-in-middle issues", "debug agent failures", "understand context poisoning", or mentions context degradation, attention patterns, context clash, context confusion, or agent performance degradation. Provides patterns for recognizing…
Semantic-first code discovery via the sensegrep CLI. Default to sensegrep search for behavior, concepts, structure, and exploration; reserve sensegrep literal for known exact strings, regexes, exhaustive occurrence audits, or verification after discovery.
Use when navigating an unfamiliar codebase, locating a definition, finding callers or callees, or answering "where is X", "what calls Y", "what does this file contain". Replaces ad-hoc Read/Grep/Glob with targeted SQLite-backed retrieval.
Deterministic PC no-boot / no-POST / no-display troubleshooting — real BIOS beep-code lookup and a ranked next-steps engine, no LLM guessing at hardware causes. Use this whenever the user describes a computer that won't turn on, won't POST, has no display output, is beeping, or asks for hardware troubleshooting steps…
Finds real dead code (unused imports, functions, classes) and unused dependencies in a Python repository, and proposes a safe, test-gated branch+PR to remove the safely-removable ones. Use this whenever the user asks to find or clean up dead code, unused imports, unused dependencies, or "bloat" in a Python project…
Test, score, and inspect n8n workflows via MCP. Safe by design — no credential access, no destructive auto-repair. Use when testing workflows, debugging executions, searching nodes, or building workflows incrementally.
Investigate why a strange piece of code exists before anyone deletes it (Chesterton's fence). Use when the user points at a weird line, hack, magic constant, or workaround and asks why it's there, whether it's still needed, or if it's safe to remove.
Orchestrate test execution — run unit, integration, and E2E tests, collect coverage reports, and analyze failures. Use when running tests, checking coverage, debugging test failures, or validating code changes before merge.
Give a repository a full health exam — doc rot, dependency staleness, CI decay, git hygiene, dead links, docs contradicting code — and grade it. Use when the user wants to know what quietly rotted, or a prioritized maintenance list.
Use when someone asks to analyze a defect report, analyze bug data, perform defect metrics analysis, review a defect log, or upload a defect file for quality insights.
A code-reduction audit method for finding unused code, duplicate implementations, unused dependencies, and unnecessary generalisation. It also creates automated checks to prevent a codebase from growing without need.
Query the Code Graph knowledge graph for this codebase. Use when the user asks about code structure, call relationships, dependencies, blast radius, or wants to run SPARQL queries against the project graph. Requires the backend and MCP server to be running.
Evidence-driven dissection of an existing service, written plan, or codebase area. Interrogates every entity (table, field, component, endpoint, module, boundary) against ground truth from multiple sources at once, red-teams each verdict devil's-advocate style, and arrives at the minimal-build optimization plan. Runs…
Use when debugging failures, writing tests, starting multi-step tasks, modifying build systems, integrating APIs, or validating assumptions before heavy execution.
Fallback debugging when no pattern matches — hypothesis-driven code instrumentation with auto pattern extraction.
★not rated 1 5mo agoA19 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: