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SkillsMP has collected 1,032 skills from deathrashed/agents. Open a skill to review its source and details.
deathrashed/agentsShowing 40 of 1,032 collected skills.
Use as the follow-up to brainstorm-beagle when a spec has an Open Questions section (or quietly carries latent gaps) that need closing before planning or implementation can begin. Triggers on: "resolve the open questions", "close the gaps in this spec",…
Use when the user wants to build or think through a strategy via guided conversation — for a company, product, team, career, or initiative. Triggers on "help me figure out our direction", "what should we focus on", strategic planning, competitive positioning,…
Use when reviewing, critiquing, or stress-testing an existing strategy document. Evaluates seven dimensions — diagnosis quality, guiding policy strength, action coherence, assumption exposure, falsifiability — with optional 7S, Five Forces, Balanced…
Use when the user wants web research: gathering cited, multi-angle evidence on a specific question. Triggers on: "research X for me", "do web research on", "look up sources for", "find citations for", "gather evidence on", "what does the web say about X".…
Use when you want to generate Architecture Decision Records from this session. Triggers on "write ADRs", "document our decisions", "create decision records", "record the choices we made". Also useful after design discussions where decisions were reached but…
commit and push all local changes to remote repo
create a pull request with standardized description template
Docling document parser for PDF, DOCX, PPTX, HTML, images, and 15+ formats. Use when parsing documents, extracting text, converting to Markdown/HTML/JSON, chunking for RAG pipelines, or batch processing files. Triggers on DocumentConverter, convert,…
Fetch review comments from a PR and evaluate with receive-feedback skill
Applies fixes from a prior review-llm-artifacts run, with safe/risky classification. Respects verify-llm-artifacts output when present to skip false positives.
generate release notes for changes since a given tag
GitHub Projects management via gh CLI for creating projects, managing items, fields, and workflows. Use when working with GitHub Projects (v2), adding issues/PRs to projects, creating custom fields, tracking project items, or automating project workflows.…
Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns. Use when cleaning up AI-generated code or reviewing for agent-introduced cruft.
Optimize prompts for code-related tasks following Claude best practices. Use when refining prompts for implementation, debugging, refactoring, code review, or testing.
Process external code review feedback with technical rigor. Use when receiving feedback from another LLM, human reviewer, or CI tool. Verifies claims before implementing, tracks disposition.
Respond to review comments on a PR after evaluation and fixes
Schema for tracking code review outcomes to enable feedback-driven skill improvement. Use when logging review results or analyzing review quality.
Detects common LLM coding agent artifacts by spawning four parallel subagents over the project or changed files. Scans files changed since main by default; use --all for full-project scan. Triggers on LLM cruft cleanup, agent-generated code review, dead code…
Review implementation plans for parallelization, TDD, types, libraries, and security before execution
Analyzes feedback logs to identify patterns and suggest improvements to review skills. Use when you have accumulated feedback data and want to improve review accuracy.
Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
Create Claude Code skills with best practices, structure, validation, and testing. Use when designing or refining skills, prompts, references, or supporting files.
Confirms or rejects findings from review-llm-artifacts before deletes or risky refactors. Loads review-verification-protocol-style checks per finding. Use after a review run, when the user wants to reduce false positives, before fix-llm-artifacts on dead…
Core technical documentation writing principles for voice, tone, structure, and LLM-friendly patterns. Use when writing or reviewing any documentation.
Generate first-draft technical documentation from code analysis
Verify documentation coverage and generate missing docs interactively
Explanation documentation patterns for understanding-oriented content - conceptual guides that explain why things work the way they do
How-To guide patterns for documentation - task-oriented guides for users with specific goals
Rewrite AI-generated developer text to sound human — fix inflated language, filler, tautological docs, and robotic tone. Use after review-ai-writing identifies issues.
Analyze and improve existing documentation using Diataxis principles
Reference documentation patterns for API and symbol documentation. Use when writing reference docs, API docs, parameter tables, or technical specifications. Triggers on reference docs, API reference, function reference, parameters table, symbol documentation.
Detect AI-generated writing patterns in developer text — docs, docstrings, commit messages, PR descriptions, and code comments. Use when reviewing any text artifact for authenticity and clarity.
Tutorial patterns for documentation - learning-oriented guides that teach through guided doing
Reviews Elixir code for security vulnerabilities including code injection, atom exhaustion, and secret handling. Use when reviewing code handling user input, external data, or sensitive configuration.
Comprehensive Elixir/Phoenix code review with optional parallel agents
Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
Reviews BubbleTea TUI code for proper Elm architecture, model/update/view patterns, and Lipgloss styling. Use when reviewing terminal UI code using charmbracelet/bubbletea.
Comprehensive Go backend code review with optional parallel agents
Comprehensive BubbleTea TUI code review for terminal applications
Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.