Claude Skills by rjmurillo

Route any request to the right skill, command, or agent chain with

Detect and stop manufactured work after a deliverable appears done. Use when a worker has produced a plan, issue, PR, backlog item, research artifact, or follow-up task and you need to verify it was demanded by a real user, acceptance criterion, or blocked decision instead of reward-seeking activity.

Cross-model benchmark. Runs one prompt or skill through Claude, GPT (Codex CLI), and Gemini side by side and compares latency, tokens, cost, tool calls, and optionally output quality via an Anthropic-API judge. Answers "which model is actually best for this skill?" with data. Use when you say "benchmark models", "compare models", "which model is best for X", "cross-model comparison", or "model shootout". Do NOT use to measure web page performance.

Route a founder problem to the right business framework, then load that framework on demand. Distills 14 business books (customer discovery, positioning, pricing, sales, growth, persuasion) into scored, decision-tree skills. Use when you say diagnose my business problem, what framework applies, how do I validate demand, price this, position this, generate leads, or close deals. Do NOT use for software design (use the engineering rules) or for a single named decision (use decision-critic).

Design and document chaos engineering experiments. Guide steady state baseline, hypothesis formation, failure injection plans, and results analysis. Use when you say "design a chaos experiment", "plan a game day", "failure injection", "test resilience", or "chaos engineering". Do NOT use for security threat analysis (use threat-modeling) or pre-launch project risk identification (use pre-mortem).

Write a timestamped mid-session checkpoint snapshot of decisions, progress, and next actions to .agents/checkpoints/, then link it from the active session log.

Execute CodeQL security scans with language detection, database caching, and SARIF output. Use when performing static security analysis on Python or GitHub Actions code.

Guidance for maintaining Forgetful record quality and in-file Serena supersession markers. Covers updating outdated records, marking obsolete content, and linking related knowledge. Use when you say "how do I update a memory", "how do I mark a memory obsolete", or "how do I deduplicate Forgetful memories". Do NOT use for merging or deleting Serena files or tidying Serena indexes; use memory-consolidate.

Classify problems into Cynefin Framework domains (Clear, Complicated, Complex, Chaotic, Confusion) and recommend appropriate response strategies. Use when unsure how to approach a problem, facing analysis paralysis, or needing to choose between expert analysis and experimentation.

Structured decision critic that systematically stress-tests reasoning before commitment surfacing hidden assumptions verifying claims and generating adversarial perspectives to improve decision quality. Do NOT use to surface failure risks pre-launch (use pre-mortem) or to probe why a constraint exists (use chestertons-fence).

Evidence-based developer experience audit. Discovers the target, tests onboarding and setup flows, evaluates API/CLI ergonomics, error messages, documentation, upgrade paths, developer environment, community health, and DX measurement practices. Produces a scorecard where every score cites evidence labeled TESTED, PARTIAL, or INFERRED. Measures Time-to-Hello-World when the target supports it. Compares against a prior dx-review result when one exists (boomerang). Use when asked to "run a DX au...

Populates the Forgetful knowledge base using Serena's LSP-powered symbol

Guidance for deep knowledge graph traversal across memories, entities, and relationships. Use when needing comprehensive context before planning, investigating connections between concepts, or answering "what do you know about X" questions.

Repair malformed markdown code fence closings. Use when you say "fix markdown fences", "repair code block closings", "markdown rendering broken", "code blocks bleeding into content", or "validate markdown code blocks" on any .md file. Do NOT use for documentation accuracy checks or verifying code examples (use doc-accuracy).

Advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog. Use when managing complex Git histories, collaborating on feature branches, or recovering from repository issues. Use when you say "rebase my branch", "cherry-pick a commit", "find the breaking commit", or "recover lost commits".

BLOCKING INTERCEPT: When ANY github.com URL appears in user input, STOP and use this skill. Never fetch GitHub HTML pages directly - they are 5-10MB and will exhaust your context window. This skill routes URLs to efficient API calls (1-50KB). Triggers on: gist.github.com, gist.githubusercontent.com, pull/, issues/, blob/, tree/, commit/, compare/. Use when you paste a GitHub URL, say \"analyze this PR\", \"look at this issue\", or \"what does this commit do\". Do NOT use for creating PRs, pos...

Execute GitHub operations (PRs, issues, milestones, labels, comments, merges) using Python scripts with structured output and error handling. Use when working with pull requests, issues, review comments, CI checks, or milestones instead of raw gh. Use when you say "create a PR", "add label to issue", or "check CI status". Do NOT use to read a pasted github.com URL (use github-url-intercept).

Reflective consolidation pass over Serena memory files. Separates

Generate evidence-based documentary reports by searching across all 4

Manage memory citations, verify code references, and track confidence scores. Use when adding citations to memories, checking memory health, or verifying code references are still valid. Use when you say "add a citation", "verify this memory's code refs", "check memory health". Do NOT use for searching or creating memories (use memory) or for documentary reports (use memory-documentary).

Memory-First Gate (BLOCKING) and the Chesterton's Fence investigation

Memory-system maintenance operations, split out of the memory router

Tier 2 episode extraction, the reflexion write path split out of the

Tier 1 semantic memory search across Serena and Forgetful with

Thin router for the tiered memory system. Points callers at the

Collect agent usage metrics from git history and generate health reports. Use when measuring agent adoption, reviewing system health, or producing periodic dashboards. Collects Invocation Rate, Coverage, Infrastructure Review, and Usage Distribution. Use when you say "collect agent metrics", "generate metrics dashboard", or "weekly metrics report".

Interactive planning and execution for complex tasks. Use when breaking down multi-step projects (planning) or executing approved plans through delegation (execution). Planning creates milestones with specifications; execution delegates to specialized agents. Use when you say "plan this feature", "create implementation plan", or "resume execution".

Fix PRs autonomously. Triage open PRs by tier, address thread feedback, fix CI failures, and enable auto-merge when the 4-condition Ready-to-Merge gate passes.

PR review coordinator who gathers comment context, acknowledges every

Guide prospective hindsight analysis to identify project risks before failure occurs. Teams imagine the project has failed spectacularly, then work backward to identify causes. Increases risk identification by 30% compared to traditional planning. Use when you say "run a pre-mortem on", "what could cause this to fail", "identify project risks", or "what could go wrong with". Do NOT use to stress-test a single decision's reasoning (use decision-critic).

Evaluate existing solutions (libraries, SaaS, open source) AND internal prior-art before custom development to avoid reinventing the wheel. Use when considering building new features, asking "should I build or use existing", "do we already have this", "is there existing code for X in this repo", "is there a library for this", or need build vs buy cost analysis with token estimates. Checks internal reuse (leverage/extend) before external. Do NOT use for strategic multi-option TCO (use buy-vs-b...

Optimize system prompts for Claude Code agents using proven prompt engineering patterns. Use when users request prompt improvement, optimization, or refinement for agent workflows, tool instructions, or system behaviors. Use when you say "optimize this prompt", "improve this system prompt", or "review my agent prompt".

Pre-emit AI-vernacular self-check an agent runs on its OWN prose

CRITICAL learning capture. Extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes and preserve what works. Use PROACTIVELY after user corrections ("no", "wrong"), after praise ("perfect", "exactly"), when discovering edge cases, or when skills are heavily used. Without reflection, valuable learnings are LOST forever. Acts as continuous improvement engine for all skills. Invoke EARLY and OFTEN - every correction is a learning opportunity.

Research external topics, create comprehensive analysis, and incorporate

Fill an unfilled auto-retro skeleton for a date by running the retrospective skill

Extract learnings from a session or task through structured retrospective frameworks. Gathers evidence, runs Five Whys and fishbone diagnosis, scores atomicity, and writes a canonical retrospective artifact. Use to turn execution experience into institutional knowledge. Use when you say "run a retrospective", "retro fill", or "extract learnings from this session". Do NOT use for in-conversation correction capture (use the reflect skill).

Verify a review finding before acting on it. Splits a finding into verdict, diagnosis, and prescribed fix, each needing its own evidence, so you verify before you fix and check the supporting claims rather than only the conclusion. Use when you say "address this review comment", "the bot flagged this", "handle this finding", "a sub-agent reported this", or when you inherit findings from a prior session. Do NOT use to produce a review (use review) or to run the PR thread workflow end to end (u...

Detect infrastructure and security-critical file changes to trigger security agent review recommendations ensuring proper security oversight for sensitive modifications. Use when you ask "did I touch security-critical files", "should the security agent review this". Detection only. Do NOT use to scan source for injection patterns (use security-scan).

Security review knowledge delivered as parent-inline context (the form-factor counterpart to the security agent). Threat-models a code change, scores risk with CWE/CVE evidence, and returns a verdict. Use to review a diff or snippet for vulnerabilities when you want the security knowledge inline rather than dispatched to a subagent. Do NOT use for STRIDE attack-surface analysis of a system or architecture; use threat-modeling instead. Do NOT use to decide whether security review is warranted ...

Architectural analysis workflow using Serena symbols and Forgetful memory. Use when you say "analyze the architecture of this project", "map out the codebase structure", "trace dependencies for this component", "document the architecture", or "what components does this project have". Do NOT use to populate the knowledge base from scratch (use encode-repo-serena) or for symbol-edit guidance (use using-serena-symbols).

Intelligent skill router and creator. Analyzes ANY input to recommend existing skills, improve them, or create new ones. Uses deep iterative analysis with 11 thinking models, regression questioning, evolution lens, and multi-agent synthesis panel. Phase 0 triage ensures you never duplicate existing functionality. Use when you say \"create a skill\", \"do I have a skill for\", \"which skill should I use\", \"improve the X skill\", or \"SkillForge: {goal}\". Do NOT use to create a slash command...

Autonomous meta-skill for creating high-quality custom slash commands using 5-phase workflow with multi-agent validation and quality gates. Use when user requests new slash command, reusable prompt automation, or wants to convert repetitive workflows into documented commands.

Design Service Level Objectives (SLOs) with SLIs, targets, alerting thresholds, and error budget calculations following Google SRE best practices. Use when defining reliability targets, designing SLOs, calculating error budgets, or establishing service level indicators.

Route software engineering design and discovered code-risk tasks to on-demand book references. Use for `architecture review`, `layer boundary change`, `dependency boundary`, `module interface shape`, `domain modeling`, `bounded context`, `refactoring`, `code smell`, `legacy code`, `low test coverage`, `old file`, `characterization test`, `external API calls`, `queues`, `retries`, `transactions`, `event ordering`, `data layer`, `storage design`, `consistency`, `schema evolution`, `timeout`, `c...

Transform feature descriptions into 3-tier specifications (Requirements, Design, Tasks) using EARS syntax, with schema-validated frontmatter on every emitted file. Reads the canonical spec schema before writing and rejects any out-of-range enum value. Use when you say "generate spec", "formalize requirements", or "create requirements/design/tasks".

Match file paths against steering file glob patterns to determine applicable steering guidance. Use when you say "match steering for these files", "which steering applies to this task", or "inject steering context". Use when orchestrator needs to inject context-aware guidance based on files being modified. Do NOT use for reading steering files directly when the applicable file is already known; read the file manually instead.

Detect agent conversation loops via topic-signature similarity and emit a self-reflection nudge. Use as an orchestrator guard against repetitive responses and token-burning loops. Use when you say "check stuck loop", "detect repetition", "agent looping", or "reset stuck history". Do NOT use for semantic similarity checks or multi-turn intent tracking; use a richer evaluation tool for those.

Validate code against style rules from .editorconfig, StyleCop.json, and Directory.Build.props. Use when you say "check style compliance", "validate editorconfig rules", "run style enforcement", "check naming conventions", or "validate line endings". Detects line ending violations, naming convention issues, indentation problems, and charset mismatches across C#, Python, PowerShell, and JavaScript. Do NOT use for taste/style invariants like file size or structured logging (use taste-lints).

Detect Spec to Code drift. Scan REQ/DESIGN/TASK specs for references to code that no longer exists, then report drift for review. Run after a hand-edit that moved or deleted code.