GitHub user

Agent skills by leo-kuang-ai

Every agent skill leo-kuang-ai publishes on GitHub, ranked by score, with the repositories they come from.
skills
35
repository
1

Repositories by leo-kuang-ai

Skills by leo-kuang-ai, ranked

Ranked by score. Sort bymost stars,trending,newest,recently updated

Skills by leo-kuang-ai, ranked
#SkillRepositoryStarsUsed inTokensAuto-checkLicenceUpdated
1

Audit mobile App PRD/Figma/local-source consistency across page routes, KMP/Clean Architecture, components, analytics, i18n, engineering quality, and industry lenses before runtime validation; use…

leo-kuang-ai/spec-first107—~4.6kAutomated safety check: PassMITyesterday
2

Create a durable cross-session handoff or resume from a user-selected continuity source.

leo-kuang-ai/spec-first107—~1.8kAutomated safety check: PassMITyesterday
3

Give a decisive, project-grounded verdict on an external input — judged against the current project, not in the abstract.

leo-kuang-ai/spec-first107—~4.5kAutomated safety check: PassMITyesterday
4

Resolve PR review feedback by evaluating validity and fixing issues with conflict-aware resolver dispatch.

leo-kuang-ai/spec-first107—~1.8kAutomated safety check: NotesMITyesterday
5

Analyze explicit Riffrec product-feedback captures, including riffrec-.zip, the Riffrec session.json + events.json + recording.webm + voice.webm bundle, or media/notes the user identifies as a…

leo-kuang-ai/spec-first107—~1.4kAutomated safety check: PassMITyesterday
6

Document a recently solved problem or durable project vocabulary in docs/solutions/ or CONCEPTS.md.

leo-kuang-ai/spec-first107—~18kAutomated safety check: PassMITyesterday
7

Public workflow entrypoint (spec-prd): create, write, refine, or validate planning-readiness of brownfield PRD-grade requirements for existing systems before implementation planning.

leo-kuang-ai/spec-first107—~16kAutomated safety check: PassMITyesterday
8

Run metric-driven iterative optimization loops. An agent skill from leo-kuang-ai/spec-first.

leo-kuang-ai/spec-first107—~13kAutomated safety check: PassMITyesterday
9

Refresh docs/solutions learnings against the current codebase.

leo-kuang-ai/spec-first107—~15kAutomated safety check: WarnMITyesterday
10

Autonomous goal-directed iteration loop: modify, verify, keep/discard against a metric or a checkable success predicate, with bounded cycles, plateau/ceiling backstops, safety-screened commands, and…

leo-kuang-ai/spec-first107—~2.2kAutomated safety check: PassMITyesterday
11

Create a durable, visual teaching artifact for a concept, diff, idea, or recent-work window, with an optional check-in that makes it stick.

leo-kuang-ai/spec-first107—~3.3kAutomated safety check: PassMITyesterday
12

Start the dev server, inspect the feature in browser, and iterate on polish.

leo-kuang-ai/spec-first107—~2.5kAutomated safety check: PassMITyesterday
13

Use this standalone skill to build or update a project architecture knowledge base (docs/architecture.md) for multi-end monorepos or any repo with a shared layer, from code evidence, or to check…

leo-kuang-ai/spec-first107—~1.4kAutomated safety check: PassMITyesterday
14

Draft launch or promotion copy for a shipped feature. An agent skill from leo-kuang-ai/spec-first.

leo-kuang-ai/spec-first107—~2.8kAutomated safety check: PassMITyesterday
15

Build a throwaway prototype to answer an unresolved product behavior or visual question before implementation.

leo-kuang-ai/spec-first107—~1kAutomated safety check: PassMITyesterday
16

Simplify recently changed code for clarity, reuse, quality, and efficiency while preserving behavior.

leo-kuang-ai/spec-first107—~2.4kAutomated safety check: PassMITyesterday
17

Sweep configured feedback sources (Slack, GitHub Issues; email experimental) for new items: acknowledge at source, analyze recordings, verify fixes merged to main, and emit a spec-lfg-ready plan.

leo-kuang-ai/spec-first107—~4.8kAutomated safety check: NotesMITyesterday
18

Run browser tests on pages affected by current PR or branch.

leo-kuang-ai/spec-first107—~1.7kAutomated safety check: PassMITyesterday
19

Standalone entry governor for spec-first. An agent skill from leo-kuang-ai/spec-first.

leo-kuang-ai/spec-first107—~1kAutomated safety check: PassMITyesterday
20

Explore vague or ambitious ideas into a right-sized requirements-only unified plan.

leo-kuang-ai/spec-first107—~11kAutomated safety check: PassMITyesterday
21

Diagnosis loop for bugs and failing behavior. An agent skill from leo-kuang-ai/spec-first.

leo-kuang-ai/spec-first107—~9.8kAutomated safety check: PassMITyesterday
22

使用角色化 lens 审查 requirements、plans、task packs 或 specs。适用于改进既有规划与执行文档;默认 standard roster(≤3 reviewers),完整条件 roster 使用 roster:full。

leo-kuang-ai/spec-first107—~6.6kAutomated safety check: PassMITyesterday
23

Hands-off, diff-scoped browser QA of the active branch or PR.

leo-kuang-ai/spec-first107—~6.1kAutomated safety check: NotesMITyesterday
24

Generate and evaluate grounded ideas. An agent skill from leo-kuang-ai/spec-first.

leo-kuang-ai/spec-first107—~14kAutomated safety check: PassMITyesterday
25

Install, configure, verify, and refresh required harness runtime readiness facts for spec-first workflows on Claude Code, Codex, Cursor, Kiro, Qoder, or OpenCode.

leo-kuang-ai/spec-first107—~11kAutomated safety check: PassMITyesterday
26

Internal helper for caller-owned git worktree isolation. An agent skill from leo-kuang-ai/spec-first.

leo-kuang-ai/spec-first107—~3.2kAutomated safety check: NotesMITyesterday
27

Use this standalone skill when the user asks to mine a repo's existing coding conventions for future AI coding, generate or refresh project rules with AGENTS.md/CLAUDE.md pointers, create Cursor or…

leo-kuang-ai/spec-first107—~1.2kAutomated safety check: PassMITyesterday
28

Create or update STRATEGY.md. An agent skill from leo-kuang-ai/spec-first.

leo-kuang-ai/spec-first107—~1.6kAutomated safety check: PassMITyesterday
29

公开 workflow:创建、修改或迁移项目拥有的 Agent Skill package,或对现有/外部 package 做用户明确要求、零执行的只读验证与 readiness 报告时使用;也用于按已接受的 audit finding 修复 source skill。不要用于一次性回答、解释/总结/翻译、普通代码 review、第三方 Skill 纯安装或导入、跨仓批量修改,或直接修补…

leo-kuang-ai/spec-first107—~1.6kAutomated safety check: PassMITyesterday
30

Public workflow entrypoint (spec-write-tasks): compile a settled local spec-plan into an optional derived task pack for spec-work, or validate an existing local task pack before execution.

leo-kuang-ai/spec-first107—~2.6kAutomated safety check: PassMITyesterday
31

Run the full hands-off engineering pipeline from planning through a green PR.

leo-kuang-ai/spec-first107—~6.1kAutomated safety check: PassMITyesterday
32

Internal commit helper for public workflows that already hold explicit commit authorization; creates scoped, value-communicating commits without owning push or PR landing.

leo-kuang-ai/spec-first107—~2.1kAutomated safety check: NotesMITyesterday
33

Internal landing helper for public workflows that already hold explicit commit and landing authorization; commits scoped changes, pushes, and creates or updates a PR with a value-first description.

leo-kuang-ai/spec-first107—~5.6kAutomated safety check: PassMITyesterday
34

Build and test iOS apps on simulator using XcodeBuildMCP. An agent skill from leo-kuang-ai/spec-first.

leo-kuang-ai/spec-first107—~2.3kAutomated safety check: PassMITyesterday
35

Execute a settled plan, validated task pack, spec path, or concrete implementation request end-to-end.

leo-kuang-ai/spec-first107—~9.4kAutomated safety check: PassMITyesterday

Questions, answered from the data.

What is the best skill by leo-kuang-ai?

Spec App Consistency Audit from leo-kuang-ai/spec-first ranks first of the 35 skills by leo-kuang-ai listed here, with the highest score: its repository has 107 GitHub stars, its SKILL.md loads about 4.6k tokens and it passes the automated safety check with no findings. Next come Spec Handoff and Spec Pov.

Are leo-kuang-ai's skills official?

None yet. All 35 skills by leo-kuang-ai listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.

How are these skills ranked?

By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.