Claude Skills by vamseeachanta

Developer-first workflow engine that turns scripts into workflows and

"Cross-platform hardware assessment and system maintenance \u2014 assess\

Diagnose local machine slowness and apply CPU/IO/governor tuning. Use when work feels slow on ace-linux-1 / ace-linux-2 — Hermes lagging, git operations taking minutes, builds dragging, Claude Code feeling sluggish. Runs perf-bench.sh, identifies the dominant bottleneck (CPU governor, filesystem driver, NUMA, memory pressure, I/O contention), and applies fixes from the perf-tuning runbook.

Assess and report on AI tool subscriptions, usage patterns, and cost-effectiveness.

Create and manage long-running background processes with start/stop/status

Essential CLI tools and shell productivity patterns for efficient terminal

Complete Docker containerization patterns with multi-stage builds for

Advanced git workflows including rebase, worktrees, bisect, hooks, and

macOS launcher automation with Raycast extensions (TypeScript/React)

VS Code productivity optimization with essential extensions, settings

Survey, classify, and clean up `/mnt/local-analysis/` (or any sibling-to-workspace-hub

Install a private, single-user Telegram bot connected to a Hermes

Airtable REST API via curl. Records CRUD, filters, upserts.

Gmail, Calendar, Drive, Contacts, Sheets, and Docs integration via Python. Uses OAuth2 with automatic token refresh. No external binaries needed — runs entirely with Google's Python client libraries in the Hermes venv.

Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

Compact the current conversation into a handoff document for another agent to pick up.

Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.

Notion API for creating and managing pages, databases, and blocks via curl. Search, create, update, and query Notion workspaces directly from the terminal.

Extract text from PDFs and scanned documents. Use web_extract for remote URLs, pymupdf for local text-based PDFs, marker-pdf for OCR/scanned docs. For DOCX use python-docx, for PPTX see the powerpoint skill.

Operate the Teams meeting summary pipeline via Hermes CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.

Jailbreak API-served LLMs using G0DM0D3 techniques — Parseltongue input obfuscation (33 techniques), GODMODE CLASSIC system prompt templates, ULTRAPLINIAN multi-model racing, encoding escalation, and Hermes-native prefill/system prompt integration. Use when a user wants to bypass safety filters, jailbreak a model, or red-team model robustness.

Scan job boards to identify consulting opportunities by matching hiring demand to a practitioner's capabilities. Build a GTM outreach campaign from job postings. Reusable scanner at scripts/gtm/job-market-scanner.py.

Durable feedback loop for correcting llm-wiki pages without losing the correction to chat history. Use when (1) a human notices a wiki page is wrong, outdated, or contradicts a source, (2) processing the `audit/` inbox of a domain wiki, (3) reviewing what feedback has been resolved vs deferred, (4) needing to leave a comment on a specific text range that survives line- number drift. Implements the anchored-text audit file pattern from lewislulu/llm-wiki-skill, adapted for workspace-hub's doma...

Weekly governance workflow for keeping an llm-wiki repository current, code-development-useful, and connected to actionable GitHub issue planning.

Enforce the page-shape contract when a repo-side document or analysis output gets converted into an llm-wiki page. Use when (1) running `scripts/knowledge/llm_wiki.py ingest`, (2) writing or rewriting a wiki page from docs/reports/*, docs/handoffs/*, scripts/review/results/*, or calc citation outputs, (3) deciding whether a page should be split into a folder of sub-pages, (4) reviewing wiki PRs for length / diagram / divide-and-conquer compliance. Codifies the Karpathy + Astro-Han + lewislulu...

Firewall between the public llm-wiki repo (vamseeachanta/llm-wiki, MIT + CC-BY-4.0) and per-client private wikis (vamseeachanta/llm-wiki-<client>, e.g. llm-wiki-mkt-a per #2746). Use when (1) deciding whether a converted wiki page lands in public or private surface, (2) applying the project-name abstraction rule to public-bound content, (3) evaluating the public- availability exception that lets actual project names pass through unmodified, (4) promoting content from private to public after s...

Doc-type-aware extraction contract for llm-wiki source ingestion with measurable coverage and source-anchored traceability. Use when (1) ingesting a PDF, DOCX, XLSX, PPTX, HTML, or scanned-image source into a wiki `sources/` page, (2) computing the pre-extraction estimate (what fraction of the source we expect to recover) and post-extraction yield (what fraction we actually recovered), (3) anchoring wiki claims back to specific page / paragraph / cell / slide positions in the source so a revi...

Class-level governance workflow for keeping llm-wiki-style markdown knowledge bases current, public-safe, graph/index-valid, and useful for code development. Use when reviewing llm-wiki architecture/content, scanning new LLM concepts, maintaining public knowledge graphs, producing an issue roadmap, or running recurring freshness cadence.

Karpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.

Maintain public-safe knowledge graph artifacts for llm-wiki and similar markdown knowledge bases. Use when changing graph generators, validators, schema docs, weekly freshness checks, or public/private source-scope boundaries.

End-to-end pipeline for writing ML/AI research papers — from experiment design through analysis, drafting, revision, and submission. Covers NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Integrates automated experiment monitoring, statistical analysis, iterative writing, and citation verification.

Auto-query llm-wiki domains for relevant context before executing domain tasks

Generate clinical trial protocols for medical devices or drugs through

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to

Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing

Systematic framework for scientific problem selection, project ideation,

Deep learning for single-cell analysis using scvi-tools: data integration, batch correction, multi-modal analysis, reference mapping, and more.

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations.

Interact with X/Twitter via the x-cli terminal client using official X API credentials. Use for posting, reading timelines, searching tweets, liking, retweeting, bookmarks, mentions, and user lookups.

X/Twitter via xurl CLI: post, search, DM, media, v2 API.

Prevent Codex/Gemini adversarial review dispatch failures caused by relative prompt-file paths and background workdir drift.

Prevent adversarial review dispatch failures caused by relative prompt paths, superseded background sessions, and stale completion notices when launching Codex/Gemini review jobs.

Prevent stale plan/code review prompts from being sent to Codex/Gemini after the underlying artifact changed.

Prevent approval-stage adversarial review churn by keeping plans implementation-focused, schema-complete, and free of stale review-process narration.

Run an approval-stage adversarial cross-review sweep across multiple GitHub issues, drafting any missing canonical plan artifacts before dispatching Codex/Gemini reviews.

Recover adversarial plan reviews on large or sandbox-hostile repos by embedding grounded facts + full plan text directly in a compact prompt and explicitly forbidding reviewer tool use.

Recover adversarial plan reviews when providers keep reading stale remote/main content instead of the revised local artifact.

Add Google-style docstrings to all public functions and classes in a Python package. Uses AST parsing for precise gap detection, priority ranking by coverage ratio, and multi-file patching.

Recover adversarial plan reviews in large or tool-constrained repos by using compact self-contained prompts that forbid tool use and rely only on embedded grounded facts plus the plan text.

Debug Hermes TUI slash commands: Python, gateway, Ink UI.