{"id":50550056,"url":"https://github.com/thtskaran/claude-skills","last_synced_at":"2026-06-04T02:30:49.301Z","repository":{"id":357006383,"uuid":"1156651163","full_name":"thtskaran/claude-skills","owner":"thtskaran","description":"Battle-tested Claude Code skills for hardening vibe-coded projects. 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That's the whole convention. Drop a folder in, follow that shape, and the installer below picks it up automatically — no list to update, no manifest to edit.\n\n## Install everything (one command)\n\nRun from inside this repo. Both commands install every top-level directory that contains a `SKILL.md` into `~/.claude/skills/`. Re-running upgrades in place. Add a new skill tomorrow that follows the same structure → re-run the same command, it just works.\n\n**Linux / macOS (bash, zsh):**\n\n```bash\nmkdir -p \"$HOME/.claude/skills\" \u0026\u0026 for d in */; do [ -f \"${d}SKILL.md\" ] || continue; rm -rf \"$HOME/.claude/skills/${d%/}\"; cp -R \"$d\" \"$HOME/.claude/skills/\"; done\n```\n\n**Windows (PowerShell):**\n\n```powershell\n$dst = \"$HOME\\.claude\\skills\"; New-Item -ItemType Directory -Force -Path $dst | Out-Null; Get-ChildItem -Directory | Where-Object { Test-Path (Join-Path $_.FullName 'SKILL.md') } | ForEach-Object { $t = Join-Path $dst $_.Name; if (Test-Path $t) { Remove-Item -Recurse -Force $t }; Copy-Item -Recurse -Force -Path $_.FullName -Destination $dst }\n```\n\nWant one skill instead of all of them? Just `cp -R \u003cskill-name\u003e/ ~/.claude/skills/`.\n\n## What each skill does\n\n| Skill | One-liner |\n|---|---|\n| [`deslop`](deslop/) | Audit and harden AI-generated codebases. Two-phase workflow: structured multi-pass `AUDIT.md`, then safety-tiered fixes. Never touches business logic. |\n| [`autonomous-research`](autonomous-research/) | Reads files in your active directory, runs exhaustive multi-round literature research, self-critiques in loops, and produces a publication-quality PDF. Built for \"find the gap, write the thing.\" |\n| [`ml-content`](ml-content/) | Ship publication-quality ML content — IG carousels, 3Blue1Brown-style explainer videos, posters, paper figures. Deep paper recon (5-file bundle) → real-3D-only design discipline → phone-readable annotations → grounding pass before posting. Locked render pipeline: weasyprint+pdftoppm for static, matplotlib3D for charts, Manim for videos. |\n| [`people-sourcer`](people-sourcer/) | Builds real prospect / candidate / outreach lists. Iterative scraping across LinkedIn, Reddit, X, Instagram, TikTok, YouTube, GitHub. Per-person commentary, not generic blurbs. Outputs a multi-sheet xlsx. |\n| [`pro-graphic-designer`](pro-graphic-designer/) | End-to-end graphic design — posters, carousels, banners, thumbnails, decks, ad creatives. Audience research → reference mining (Behance / Pinterest / Dribbble) → copy → output as Canva / HTML / SVG / PDF. |\n| [`worldbuilder-writing`](worldbuilder-writing/) | Treats writing as applied psychology, not self-expression. The reusable engine for any blog post, email, pitch, script, landing page, or sales copy. |\n| [`academic-paper`](academic-paper/) | Format text as a publication-ready PDF using reportlab — title block, sectioning, tables, figures, references. White-papers, preprints, lit reviews. |\n| [`consolidate-memory`](consolidate-memory/) | Reflective pass over your `CLAUDE.md` / memory directory — merges duplicates, prunes stale facts, fixes the index. |\n| [`docx`](docx/) | Read / edit / create Word documents. Tables of contents, headings, page numbers, tracked changes, comments, image insertion, find-replace. |\n| [`pdf`](pdf/) | Read text + tables, merge / split, rotate, watermark, fill forms, encrypt / decrypt, OCR scanned pages, extract images. |\n| [`pptx`](pptx/) | Read / edit / create PowerPoint decks. Templates, layouts, speaker notes, comments, combine / split. |\n| [`xlsx`](xlsx/) | Read / edit / create spreadsheets. Formulas, formatting, charts, cleanup of malformed tabular data. |\n| [`schedule`](schedule/) | Create a scheduled task that runs on demand or on an interval. |\n\n## How they connect\n\nSome skills explicitly read another skill's `SKILL.md` mid-run. If you cherry-pick rather than installing the whole set, install the dependencies too — those skills degrade silently without them.\n\n```\nautonomous-research ──▶ academic-paper\n\npeople-sourcer ─┬─▶ worldbuilder-writing\n                ├─▶ xlsx\n                └─▶ pro-graphic-designer ──▶ worldbuilder-writing\n\nml-content ─┬─▶ worldbuilder-writing      (hook + caption construction)\n            ├─▶ pro-graphic-designer      (design discipline, brand-constrained)\n            ├─▶ autonomous-research       (find the paper / fact-check at scale)\n            ├─▶ academic-paper            (when the deliverable is a PDF, not a carousel)\n            └─▶ pptx                       (when the deliverable is a native slide deck)\n```\n\n| Skill | Depends on | Why |\n|---|---|---|\n| `autonomous-research` | `academic-paper` | Final deliverable is a formatted PDF. autonomous-research literally `Read`s academic-paper before writing, then follows its reportlab workflow. |\n| `people-sourcer` | `worldbuilder-writing` | Phase 0 (audience modeling) and the per-person commentary step both delegate to it. The skill explicitly states \"this skill depends on it.\" |\n| `people-sourcer` | `xlsx` | Phase 6 output is a multi-sheet xlsx. Read before generating. |\n| `people-sourcer` | `pro-graphic-designer` | Architectural sibling — same scratchpad-driven, iterative-scraping shape. Cross-referenced for shared patterns. |\n| `pro-graphic-designer` | `worldbuilder-writing` | Phase 0 (audience model) and Phase 4 (copy) both run through it. |\n| `ml-content` | `worldbuilder-writing` | The \"Hook Construction\" stage is worldbuilder's audience-persona / leverage-point / reaction-map pass inlined for ML audiences. Read once before drafting any hook or caption. |\n| `ml-content` | `pro-graphic-designer` | When you want extra design references beyond ml-content's locked brand, lean on pro-graphic-designer's reference-mining workflow — but keep ml-content's brand baseline. |\n| `ml-content` | `autonomous-research` | For full grounding pass on 10+ claims, or when you need to find the right paper to make content about, delegate to autonomous-research. |\n\n`worldbuilder-writing` is the most-depended-on node — install it first if you're picking and choosing. The installer above grabs everything in one shot, so this only matters for cherry-pickers.\n\n## Why a BrightData token is required (for three of the skills)\n\nThree skills are not \"search the web a couple of times\" skills — they are scraping pipelines:\n\n- **`autonomous-research`** — multi-round structured scraping of search engines, papers, and arbitrary websites for its literature sweep.\n- **`people-sourcer`** — ~40 calls per run across LinkedIn / Reddit / X / Instagram / TikTok / YouTube / GitHub to discover, dedupe, and enrich named individuals.\n- **`pro-graphic-designer`** — Reddit / LinkedIn / Facebook / Instagram / research papers for audience signal, plus Behance / Pinterest / Dribbble for visual references.\n\nAll three load BrightData MCP tools at runtime via `tool_search` — `search_engine`, `scrape_as_markdown`, `scrape_batch`, and the platform-specific `web_data_*` extractors (`web_data_linkedin_person_profile`, `web_data_reddit_posts`, etc.). Those tools authenticate against your BrightData account using an API token.\n\nWithout the token:\n\n- The `tool_search` calls return tools that fail at first invocation.\n- Plain `WebSearch` + `WebFetch` cannot substitute. Most target platforms (LinkedIn, Instagram, TikTok, paywalled news, Behance) either block direct fetches, return JS-only shells, or rate-limit aggressively. BrightData's residential / unblocker layer is exactly what gets you past that — and the structured `web_data_*` endpoints return clean JSON instead of a brittle DOM scrape.\n- The skills' iteration loops (round 1 broad → round 2 deep → enrichment) collapse to round 1 and the output is shallow.\n\nThe other skills don't need it. If you only run `docx`, `pdf`, `pptx`, `xlsx`, `worldbuilder-writing`, `academic-paper`, `consolidate-memory`, `schedule`, `deslop`, or `ml-content`, you can skip BrightData entirely.\n\n### Extra runtime deps for `ml-content`\n\n`ml-content` doesn't need BrightData, but it does shell out to a render pipeline. Install once:\n\n```bash\n# Static carousels / posters\npip install weasyprint matplotlib numpy\nbrew install poppler          # provides pdftoppm\n\n# Videos (only if you do the 3B1B-style explainers)\npip install manim\nbrew install ffmpeg\n# LaTeX — full MacTeX, or BasicTeX + the packages Manim needs\nbrew install --cask mactex-no-gui\n```\n\nFonts: Inter Tight + JetBrains Mono load from Google Fonts at render time; CMU Serif loads from the dreampulse CDN — no local install needed.\n\n**Setup:** add the BrightData MCP server to your Claude config with your API token. The token belongs to *you* — never paste it into a `SKILL.md` or commit it to this repo.\n\n## Adding your own skill\n\n1. Create a top-level folder: `my-skill/`.\n2. Inside it, write a `SKILL.md` with frontmatter (`name`, `description`) and the body.\n3. Add any `scripts/`, `references/`, `assets/`, `examples/` it needs alongside `SKILL.md`.\n4. Re-run the install one-liner. Done.\n\nThe installer detects skills by the presence of `SKILL.md`, so anything in this repo without one (LICENSE, README.md, `.git/`) is left alone.\n\n## Contributing\n\nOpen PRs welcome — new skills, improvements, fixes.\n\n## License\n\nMIT\n\n## Contact\n\nKaran Prasad — hello@KaranPrasad.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthtskaran%2Fclaude-skills","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthtskaran%2Fclaude-skills","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthtskaran%2Fclaude-skills/lists"}