ソース情報
- リポジトリ
- DojoGenesis/plugins
- ソースの最終更新活動
- 2026年4月8日 04:22
- 検出された SKILL.md の言語
- 英語
- スター
- 1
- フォーク
- 0
インストール方法
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
ソースファイルを確認
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
メニュー
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/DojoGenesis/plugins --skill implement-planコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか?SkillsMP が現在取得できるファイルをダウンロードできます。
Run a bounded kata roll over the project's bring queue — start a session with an explicit target (reps or minutes), surface and stage exactly one bring per tick, log the outcome only on the human's word, then advance. Use when the user says "start a roll", "roll for N reps", "do a 25-minute roll", "tick", "next rep", "resolve this tick", "skip this tick", or "pause/resume/end the roll".
Set up the kata roll in a project that already runs (or is starting) the bring loop — confirm bring/ exists, explain where the roll's own ledger lives, walk through the opt-in timer, and make the two-plugin coexistence with bring-loop explicit. Use when the user says "set up kata-harness", "install the roll plugin", "add rolls on top of bring-loop", or asks how the timed roll relates to their daily bring.
Produces markdown memory artifacts (conversation summaries, seed files, philosophical reflections, doc updates) and a dated compression log by distilling a long conversation into its essential decisions and learnings. For the lighter, routine end-of-session wrap-up, use `session-compression` instead — this skill is for a long conversation that needs the fuller multi-artifact treatment. Use when: "compress this context", "distill this conversation", "create a memory artifact", "condense this history", "extract key wisdom before handoff".
SOC 職業分類に基づく
SKILL.md を表示中
| name | implement_plan |
| description | Implement technical plans from thoughts/shared/plans with verification |
| user-invocable | false |
You are tasked with implementing an approved technical plan from thoughts/shared/plans/. These plans contain phases with specific changes and success criteria.
You have two execution modes:
For small plans (3 or fewer tasks) or when user requests direct implementation.
For plans with 4+ tasks or when context preservation is critical.
To use agent orchestration mode, say: "I'll use agent orchestration for this plan" and follow the Agent Orchestration section below.
When given a plan path:
Before starting implementation, run a deep pre-mortem:
/premortem deep <plan-path>
This analyzes the plan against comprehensive checklists:
If HIGH severity risks are identified:
Skip premortem if:
--skip-premortem)After premortem passes, start implementing if you understand what needs to be done.
If no plan path provided, ask for one.
Plans are carefully designed, but reality can be messy. Your job is to:
When things don't match the plan exactly, think about why and communicate clearly. The plan is your guide, but your judgment matters too.
If you encounter a mismatch:
Issue in Phase [N]:
Expected: [what the plan says]
Found: [actual situation]
Why this matters: [explanation]
How should I proceed?
After implementing a phase:
make check test covers everything)Phase [N] Complete - Ready for Manual Verification
Automated verification passed:
- [List automated checks that passed]
Please perform the manual verification steps listed in the plan:
- [List manual verification items from the plan]
Let me know when manual testing is complete so I can proceed to Phase [N+1].
If instructed to execute multiple phases consecutively, skip the pause until the last phase. Otherwise, assume you are just doing one phase.
do not check off items in the manual testing steps until confirmed by the user.
When something isn't working as expected:
Use sub-tasks sparingly - mainly for targeted debugging or exploring unfamiliar territory.
If the plan was created by plan-agent, you may be able to resume it for clarification:
.claude/cache/agents/agent-log.jsonl for the plan-agent entryagentId fieldTask(
resume="<agentId>",
prompt="Phase 2 isn't matching the codebase. Can you clarify..."
)
The resumed agent retains its full prior context (research, codebase analysis).
Available agents to resume:
plan-agent - Created the implementation planoracle - Researched best practicesdebug-agent - Investigated issuesIf the plan has existing checkmarks:
Remember: You're implementing a solution, not just checking boxes. Keep the end goal in mind and maintain forward momentum.
When implementing larger plans (4+ tasks), use agent orchestration to stay compaction-resistant.
The Problem: During long implementations, context accumulates. If auto-compact triggers mid-task, you lose implementation context. Handoffs created at 80% context become stale.
The Solution: Delegate implementation to agents. Each agent:
Handoffs persist on disk. If compaction happens, you re-read handoffs and continue.
Create handoff directory:
mkdir -p thoughts/handoffs/<session-name>
Use the session name from your continuity ledger.
Read the implementation agent skill:
cat .claude/skills/implement_task/SKILL.md
This defines how agents should behave.
Before implementing, ensure the plan has been validated using the validate-agent. The validation step is separate and should have created a handoff with status VALIDATED.
Check for validation handoff:
ls thoughts/handoffs/<session>/validation-*.md
If no validation exists, suggest running validation first:
"This plan hasn't been validated yet. Would you like me to spawn validate-agent first?"
If validation exists but status is NEEDS REVIEW, present the issues before proceeding.
For each task in the plan:
Prepare agent context:
Spawn implementation agent:
Task(
subagent_type="general-purpose",
model="claude-opus-4-5-20251101",
prompt="""
[Paste contents of .claude/skills/implement_task/SKILL.md here]
---
## Your Context
### Continuity Ledger:
[Paste ledger content]
### Plan:
[Paste relevant plan section or full plan]
### Your Task:
Task [N] of [Total]: [Task description from plan]
### Previous Handoff:
[Paste previous task's handoff content, or "This is the first task - no previous handoff"]
### Handoff Directory:
thoughts/handoffs/<session-name>/
### Handoff Filename:
task-[NN]-[short-description].md
---
Implement your task and create your handoff.
"""
)
Process agent result:
[x] Task NOn agent failure/blocker:
If auto-compact happens mid-orchestration:
ls -la thoughts/handoffs/<session-name>/
User: /implement_plan thoughts/shared/plans/PLAN-add-auth.md
Claude: I'll use agent orchestration for this plan (6 tasks).
Setting up handoff directory...
[Creates thoughts/handoffs/add-auth/]
Task 1 of 6: Create user model
[Spawns agent with full context]
[Agent completes, creates task-01-user-model.md]
✅ Task 1 complete. Handoff: thoughts/handoffs/add-auth/task-01-user-model.md
Task 2 of 6: Add authentication middleware
[Spawns agent with previous handoff]
[Agent completes, creates task-02-auth-middleware.md]
✅ Task 2 complete. Handoff: thoughts/handoffs/add-auth/task-02-auth-middleware.md
--- AUTO COMPACT HAPPENS ---
[Context compressed, but handoffs persist]
Claude: [Reads ledger, sees tasks 1-2 done]
[Reads last handoff task-02-auth-middleware.md]
Resuming from Task 3 of 6: Create login endpoint
[Spawns agent]
...
Each agent reads previous handoff → does work → creates next handoff:
task-01-user-model.md
↓ (read by agent 2)
task-02-auth-middleware.md
↓ (read by agent 3)
task-03-login-endpoint.md
↓ (read by agent 4)
...
The chain preserves context even across compactions.
| Scenario | Mode |
|---|---|
| 1-3 simple tasks | Direct implementation |
| 4+ tasks | Agent orchestration |
| Critical context to preserve | Agent orchestration |
| Quick bug fix | Direct implementation |
| Major feature implementation | Agent orchestration |
| User explicitly requests | Respect user preference |