AgentSkillReview Back to channel🔥 Sunday Power User Roundup: 5 Modular Agent Skills That Are Eating the Ecosystem (Aug 9, 2026)
🔥 Sunday Power User Roundup: 5 Modular Agent Skills That Are Eating the Ecosystem
The SKILL.md standard went from zero to 57,000+ indexed skills in nine months. Here are five that cut through the noise — each one a genuine modular skill package you can install with a single command. No platforms, no frameworks, no coding tutorials. Just skills that teach your agent how to work better.
🥇 1. Superpowers — The Discipline Enforcer
By Jesse Vincent (obra) · ⭐ 217K+ · GitHub
Think of Superpowers as the drill sergeant your AI agent never asked for. Instead of letting it dive straight into code (and produce the usual "works but isn't right" output), this multi-skill package enforces a structured plan-before-code workflow with TDD and systematic debugging baked in.
| Field | Details |
|---|---|
| Developer | Jesse Vincent (@obra) |
| Platform | GitHub · skills.sh |
| Pricing | Free, open-source (MIT) |
| Format | Multi-skill package (brainstorming, TDD, systematic-debugging, root-cause-tracing, and 12+ more) |
| Install | npx skills add obra/superpowers |
Key Strength: Forces your agent through context discovery → clarification → proposal → design approval → implementation. No code gets written until the design is approved. This alone saves hours of revision cycles.
Verdict: ⭐ 4.5/5 — Heavy-handed for simple tasks, but transformative for anything multi-step.
🥈 2. Caveman — The Token Crusher
By Julius Brussee · ⭐ 68K+ · GitHub
Every LLM response reads like a college essay. Caveman strips the prose to bone: "write test. run test. red. now fix." Code blocks stay fully intact — only the filler gets compressed. Benchmarks show ~65% average token reduction across 10 prompts (range: 22–87%).
| Field | Details |
|---|---|
| Developer | Julius Brussee (@JuliusBrussee) |
| Platform | GitHub · skills.sh |
| Pricing | Free, open-source |
| Format | Single SKILL.md + variants (lite, full, ultra, wenyan) |
| Install | npx skills add JuliusBrussee/caveman |
Key Strength: A March 2026 research paper found that brevity constraints improved accuracy by 26 percentage points on problems where verbosity caused errors. Forcing conciseness forces clarity.
Verdict: ⭐ 4/5 — Essential for cost-sensitive or high-throughput pipelines. Use ultra mode when token budget is the primary constraint.
🥉 3. Grill Me — The Ambiguity Killer
By Matt Pocock · ⭐ 116K+ (repo) · GitHub
Matt Pocock (the Total TypeScript guy) built the highest-ROI workflow skill in the ecosystem. When you invoke /grill-me, your agent maps out the entire decision tree — architecture, data models, UX flows, edge cases — then walks each branch with targeted questions, one at a time. Sessions run 16–50 questions.
| Field | Details |
|---|---|
| Developer | Matt Pocock (@mattpocock) |
| Platform | GitHub · skills.sh |
| Pricing | Free, open-source |
| Format | Multi-skill package (Grill Me, TDD, PRD writing, codebase architecture, and 13 more) |
| Install | npx skills add mattpocock/skills |
Key Strength: The mattpocock/skills repo crossed 101K stars in under 90 days from its Feb 2026 release. It pairs naturally with TDD — use Grill Me to nail down requirements, then TDD to build with discipline.
Verdict: ⭐ 5/5 — Spend 10 minutes answering questions up front, save hours of revision later. The single highest-leverage skill for non-trivial projects.
🏅 4. Graphify — The Codebase Cartographer
By safishamsi · ⭐ 58.8K+ · GitHub
AI agents read code one file at a time and miss the structural relationships between modules. Graphify fixes this by converting your entire codebase into a queryable knowledge graph using local tree-sitter AST parsing. No external API calls needed.
| Field | Details |
|---|---|
| Developer | safishamsi (@safishamsi) |
| Platform | GitHub · pip (uv) |
| Pricing | Free, open-source |
| Format | Python-based skill with bundled tree-sitter engine |
| Install | uv tool install graphify && graphify install |
Key Strength: Claims 71.5x fewer tokens per query vs. passing raw file context. Supports 33 programming languages, handles PDFs/images/video for semantic extraction, and flags "god nodes" with confidence tags (EXTRACTED, INFERRED, AMBIGUOUS).
Verdict: ⭐ 4.5/5 — Indispensable for large codebases. The confidence tagging is a thoughtful touch that prevents hallucinated relationships from going unchecked.
💎 5. Karpathy Behavioural Skill — The Fastest Grower
By multica-ai · ⭐ 172K+ · GitHub
When Andrej Karpathy published his viral observations about LLM coding pitfalls in January 2026, this skill materialized within weeks. It encodes four hard behavioral rules addressing the three failure patterns Karpathy called out directly. Zero runtime dependencies. Single SKILL.md file.
| Field | Details |
|---|---|
| Developer | multica-ai (community) |
| Platform | GitHub |
| Pricing | Free, open-source |
| Format | Single SKILL.md, zero dependencies |
| Install | Clone from GitHub or npx skills add |
Key Strength: The fastest-growing Claude Code skill of 2026 — 172K+ stars in weeks. Rules include: no silent assumptions, verify mental model before acting, and explicit confirmation for ambiguous steps.
Verdict: ⭐ 4/5 — Biases toward caution over speed, which can feel over-engineered for trivial tasks. But for production work, the discipline is worth it.
🧪 Pro Insight: Skills vs. AGENTS.md — What Vercel's Evals Revealed
Vercel published fascinating eval results comparing skills against AGENTS.md passive context:
| Configuration | Pass Rate |
|---|---|
| Baseline (no docs) | 53% |
| Skill (default) | 53% (+0pp) |
| Skill + explicit instructions | 79% (+26pp) |
| AGENTS.md docs index | 100% (+47pp) |
The takeaway: skills win for vertical, action-specific workflows that users explicitly trigger ("migrate to App Router", "audit performance"). But for broad horizontal knowledge where the agent might not know it needs help, passive AGENTS.md context currently wins.
The two approaches are complementary, not competitive.
⚠️ Security Alert
Cisco's AI Defense team found that ~26% of publicly shared skills contain at least one vulnerability, including prompt injection and credential exfiltration. Before installing any skill:
- Read the full SKILL.md source
- Be cautious with
scripts/directories - Never put API keys in skill files
- Use Backslash's free SKILL.md Scanner
Reviewed by Daniel Huang · AgentSkillReview Daily AI skill hunts for the modular agent ecosystem 🔔