My collection of agent skills for a variety of tasks
npx skills add https://github.com/hyperb1iss/hyperskills --skill plan使用 CLI 安装这个技能,并在你的工作区中直接复用对应的 SKILL.md 工作流。
Focused AI agent skills for things models don't already know
Models already know how to write React components, Kubernetes manifests, and PyTorch code. They don't need 300 lines of examples for that.
hyperskills provides skills for things that are genuinely hard to get right without guidance — procedural knowledge distilled from thousands of real sessions, decision trees for high-stakes operations, and multi-agent orchestration patterns that actually work in production.
10 skills. Zero bloat. Each one earned its place through real-world evidence.
/plugin install hyperskills
# Install all skills
npx skills add hyperbliss/hyperskills --all
# Or pick what you need
npx skills add hyperbliss/hyperskills --skill implement
npx skills add hyperbliss/hyperskills --skill orchestrate
git clone https://github.com/hyperb1iss/hyperskills.git
ln -s $(pwd)/hyperskills/skills ~/.claude/skills/hyperskills
The skills form a workflow pipeline. Each one handles a phase of the development lifecycle and hands off to the next:
brainstorm ──→ research ──→ plan ──→ implement ──→ cross-model-review
│ │ │ │
│ │ │ └──→ git
│ │ │
│ │ └──→ orchestrate (parallel agents)
│ │
└──────────────┴──→ Any skill can loop back when new questions emerge
Typical flows:
| Scenario | Flow |
|---|---|
| New feature | brainstorm → plan → implement → cross-model-review |
| Greenfield project | brainstorm → research → plan → orchestrate → implement |
| Bug fix | implement (straight to it — scale selection handles this) |
| Architecture decision | brainstorm → research → decide |
| Large refactor | plan → orchestrate → implement → cross-model-review |
You don't need to follow the full pipeline. Each skill has built-in scale selection — a typo fix doesn't need brainstorming, and a clear bug doesn't need research. Start wherever makes sense.
These encode how to approach a class of work — workflows, phases, and decision gates.
brainstorm — Structured IdeationDouble Diamond model for creative work: diverge on the problem, converge on a definition, diverge on solutions, converge on a decision. Grounded in persistent memory (Sibyl) so you never re-explore solved problems. Includes a Council pattern for complex architectural decisions using advocate/critic agents.
/hyperskills:brainstorm
research — Multi-Agent Knowledge GatheringWave-based research with deferred synthesis. Deploy agents in waves across a research surface, run gap analysis between waves, then synthesize with the full picture. Covers technology evaluation, codebase archaeology, SOTA analysis, and competitive landscape patterns. Max 3 waves — if that's not enough, reframe the question.
/hyperskills:research
plan — Task DecompositionVerification-driven planning where every step has a concrete check. Decomposes work into 2-5 minute tasks ordered by dependency, marks parallelizable waves for orchestration, and tracks everything in Sibyl. Includes a trust gradient — full ceremony for early tasks, lighter review as patterns stabilize.
/hyperskills:plan
implement — Verification-Driven CodingThe core implementation skill, distilled from 21,321 tracked operations across 64+ projects. Encodes the patterns that consistently ship working code:
/clear and restart/hyperskills:implement
orchestrate — Multi-Agent CoordinationMeta-orchestration patterns mined from 597+ real agent dispatches. Tells you which multi-agent strategy to use, how to structure prompts for parallel agents, and when to use background vs foreground. Six strategies: Research Swarm, Epic Parallel Build, Sequential Pipeline, Parallel Sweep, Multi-Dimensional Audit, and Full Lifecycle.
/hyperskills:orchestrate
cross-model-review — Bidirectional Cross-Model Code ReviewThe authoring model writes code, a different model reviews it — different architecture, different training distribution, no self-approval bias. Detects your host (Claude Code or Codex) and invokes the other model's CLI automatically. Covers both directions: Claude → Codex via codex review, and Codex → Claude via claude -p. Includes multi-pass strategy, piped-diff vs tool-access modes, and 7 ready-to-use prompt templates.
/hyperskills:cross-model-review
codex-review — Codex-Specific Code ReviewThe Claude → Codex direction in depth. Full Codex CLI reference including codex review (structured diff review) and codex exec (freeform deep-dive), multi-pass review strategy (correctness → security → architecture → performance), and integration with the Ralph Loop for iterative quality enforcement. Use cross-model-review if you want bidirectional host detection; use this one when you specifically want Codex as the reviewer from a Claude session.
/hyperskills:codex-review
These encode specialized knowledge for specific technologies — reference material, decision trees, and hard-won patterns.
security — Security OperationsFrameworks and checklists for secure systems. STRIDE threat modeling, Zero Trust principles, OWASP Top 10, SLSA supply chain levels, incident response phases, and compliance framework reference (SOC 2, HIPAA, PCI DSS).
/hyperskills:security
git — Advanced Git OperationsDecision trees for the operations that actually cause problems. When to rebase vs merge, how to handle lock file conflicts, SOPS encrypted file resolution, undo operations by scenario, cherry-pick workflows, and repository archaeology commands.
/hyperskills:git
tilt — Kubernetes DevelopmentComplete Tilt operational reference. CLI commands for log viewing, resource management, and debugging. Tiltfile authoring with build strategy selectors, live update decision trees, and resource configuration. Full API catalog and power patterns in progressive disclosure references.
/hyperskills:tilt
agent-sandbox — Kubernetes Operator for AI Agent RuntimesFull operational reference for the kubernetes-sigs/agent-sandbox operator. Covers the four CRDs (Sandbox, SandboxTemplate, SandboxClaim, SandboxWarmPool), install and upgrade hazards, warm pool HPA tuning, PDB scoping gotchas, isolation runtime selection (gVisor, Kata), network policy patterns, Karpenter integration, and the Python + Go SDK surface. Captures real-world scars from running the operator at scale. Includes detailed CRD field reference, production patterns, and client SDK deep-dive as progressive disclosure references.
/hyperskills:agent-sandbox
tui-design — Terminal UI Design SystemUniversal design patterns for building exceptional terminal user interfaces. Layout paradigm selector, interaction model decision trees, terminal color theory, visual hierarchy techniques, data visualization, and animation patterns. Framework-agnostic — works with Ratatui, Ink, Textual, Bubbletea, or any TUI toolkit. Includes a Unicode visual catalog and gallery of real TUI app design patterns.
/hyperskills:tui-design
Skills use progressive disclosure to manage context efficiently:
Level 1: Metadata (name + description) ← Always in context (~100 words)
Level 2: SKILL.md body ← Loaded when skill triggers (~1,500-3,000 words)
Level 3: references/ ← Loaded on demand (unlimited)
Skills with reference files for deep-dive content:
| Skill | Reference Files |
|---|---|
implement |
benchmarks.md — quantitative data from 21k operations |
codex-review |
prompts.md — 7 ready-to-use review prompt templates |
cross-model-review |
prompts.md — 7 ready-to-use review prompt templates |
tilt |
api-reference.md, patterns.md — full Tiltfile API + power patterns |
agent-sandbox |
crds.md, patterns.md, clients.md — CRD fields + production patterns + SDKs |
tui-design |
visual-catalog.md, app-patterns.md — Unicode catalog + app gallery |
| Platform | Installation |
|---|---|
| Claude Code | /plugin install hyperskills |
| Codex CLI | npx skills add hyperbliss/hyperskills -a codex |
| Cursor | npx skills add hyperbliss/hyperskills -a cursor |
| GitHub Copilot | npx skills add hyperbliss/hyperskills -a copilot |
| Gemini CLI | npx skills add hyperbliss/hyperskills -a gemini |
git clone https://github.com/hyperb1iss/hyperskills.git
cd hyperskills
make lint # Run linters
make format # Format files
make check # Validate plugin structure
make stats # Show plugin statistics
See AGENTS.md for the full contributor guide on adding new skills.
Licensed under the MIT License. See LICENSE for details.
Built by Hyperbliss Technologies