gsd-skill-creator

為什麼要用

核心特性

Six-step adaptive cycle: observe, detect, suggest, apply, learn, compose
3-repetition threshold before suggesting a skill — avoids noise
Learning guardrails: 3-correction minimum, 7-day cooldown
GSD-OS desktop app (Tauri, retro UI) for managing the framework
Chipset architecture for resource coordination (Amiga-inspired)

即時演示

實際使用效果

gsd-skill-creator-skill.replay ▶ 就緒

0/0

安裝

作者儲存庫 · Claude Skills 官方文件

使用場景

實戰用法： gsd-skill-creator

Let GSD detect your repeating workflow and codify it as a skill

👤 Heavy Claude Code users who keep redoing the same steps ⏱ ~30 min intermediate

何時使用： You've done 'clone repo -> run tests -> fix lint -> open PR' enough times that muscle memory should be code.

步驟

Run with observation mode on

Enable gsd-skill-creator in observe mode. Run my normal PR flow a few times over the next week.✓ 已複製

→ Silent logging of tool sequences
Review suggestions

Show me detected patterns with 3+ occurrences, ranked by confidence.✓ 已複製

→ Ranked list with proposed skill names

結果： Your actual workflow becomes a reusable skill, grounded in data.

注意事項

Approving every suggestion — Promote only the top 1–2 — skill bloat hurts the picker

搭配使用： skill-forge-skill

Compose co-activating skills into an agent team

👤 Engineers whose skills consistently fire together ⏱ ~30 min advanced

何時使用： After a month of use, the skill picker keeps selecting the same 3 skills in sequence.

步驟

Review co-activation report

Show skill co-activation report — which skills fire within the same task 80%+ of the time?✓ 已複製

→ Cluster diagram
Compose team

Compose the top cluster into a named agent team.✓ 已複製

→ Team definition that orchestrates the cluster

結果： A higher-level orchestrator that triggers the full cluster in one shot.

Resume a long project without repeating old mistakes

👤 Teams doing multi-week Claude-driven work ⏱ ~15 min beginner

何時使用： You're picking up a project Claude has lost context on.

步驟

Resume with skill history

Resume project X using gsd-skill-creator memory — what patterns and corrections have I applied so far?✓ 已複製

→ Summary of prior skills and corrections

結果： Claude starts where it left off, not from zero.

搭配使用： planning-with-files-skill

組合

與其他 MCP 搭配，撬動十倍槓桿

gsd-skill-creator-skill + skill-forge-skill

GSD detects the pattern; skill-forge scaffolds the formal skill

Hand the top detected pattern to skill-forge build for proper structure.✓ 已複製

gsd-skill-creator-skill + planning-with-files-skill

GSD observes sessions; planning-with-files persists state across them

Use both — GSD for pattern learning, planning-with-files for session state.✓ 已複製

工具

此 MCP 暴露的能力

工具	輸入參數	何時呼叫
observe_start	session id or none	Start of the adoption period
detect_patterns	min_occurrences?	Weekly review
promote_to_skill	pattern id, name	After user approval
compose_team	cluster id	When clusters are stable
learn_from_correction	correction context	After 3+ corrections in cooldown window

成本與限制

運行它的成本

API 配額: None
每次呼叫 Token 數: Observation is cheap; generation phases are moderate
費用: Free, BSL 1.1 (converts to GPL 3.0 in 2030)
提示: Only run detection weekly, not per-session

安全

權限、密鑰、影響範圍

憑證儲存： Observation data is local

資料出站： None by default

故障排查

常見錯誤與修復

No patterns detected after weeks of use

Your sessions may vary too much; loosen the pattern-matching threshold

GSD-OS desktop app won't launch

Rebuild Tauri bundle for your platform; check Rust toolchain

驗證： cargo --version

替代方案