본문으로 건너뛰기
cccskills
무료GitHub에 공개

planning-with-files

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(8)

  • SKILL.md6.5 KB
  • examples.md4.3 KB
  • reference.md7.9 KB
  • scripts/check-complete.sh1.1 KB
  • scripts/init-session.sh2.2 KB
  • templates/findings.md3.5 KB
  • templates/progress.md3.9 KB
  • templates/task_plan.md4.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Planning with Files

Work like Manus: Use persistent markdown files as your "working memory on disk."

Important: Where Files Go

When using this skill:

  • Templates are stored in the skill directory at ${CLAUDE_PLUGIN_ROOT}/templates/
  • Your planning files (task_plan.md, findings.md, progress.md) should be created in your project directory — the folder where you're working
LocationWhat Goes There
Skill directory (${CLAUDE_PLUGIN_ROOT}/)Templates, scripts, reference docs
Your project directorytask_plan.md, findings.md, progress.md

This ensures your planning files live alongside your code, not buried in the skill installation folder.

Quick Start

Before ANY complex task:

  1. Create task_plan.md in your project — Use templates/task_plan.md as reference
  2. Create findings.md in your project — Use templates/findings.md as reference
  3. Create progress.md in your project — Use templates/progress.md as reference
  4. Re-read plan before decisions — Refreshes goals in attention window
  5. Update after each phase — Mark complete, log errors

Note: All three planning files should be created in your current working directory (your project root), not in the skill's installation folder.

The Core Pattern

Context Window = RAM (volatile, limited)
Filesystem = Disk (persistent, unlimited)

→ Anything important gets written to disk.

File Purposes

FilePurposeWhen to Update
task_plan.mdPhases, progress, decisionsAfter each phase
findings.mdResearch, discoveriesAfter ANY discovery
progress.mdSession log, test resultsThroughout session

Critical Rules

1. Create Plan First

Never start a complex task without task_plan.md. Non-negotiable.

2. The 2-Action Rule

"After every 2 view/browser/search operations, IMMEDIATELY save key findings to text files."

This prevents visual/multimodal information from being lost.

3. Read Before Decide

Before major decisions, read the plan file. This keeps goals in your attention window.

4. Update After Act

After completing any phase:

  • Mark phase status: in_progress → complete
  • Log any errors encountered
  • Note files created/modified

5. Log ALL Errors

Every error goes in the plan file. This builds knowledge and prevents repetition.

## Errors Encountered
| Error | Attempt | Resolution |
|-------|---------|------------|
| FileNotFoundError | 1 | Created default config |
| API timeout | 2 | Added retry logic |

6. Never Repeat Failures

if action_failed:
    next_action != same_action

Track what you tried. Mutate the approach.

The 3-Strike Error Protocol

ATTEMPT 1: Diagnose & Fix
  → Read error carefully
  → Identify root cause
  → Apply targeted fix

ATTEMPT 2: Alternative Approach
  → Same error? Try different method
  → Different tool? Different library?
  → NEVER repeat exact same failing action

ATTEMPT 3: Broader Rethink
  → Question assumptions
  → Search for solutions
  → Consider updating the plan

AFTER 3 FAILURES: Escalate to User
  → Explain what you tried
  → Share the specific error
  → Ask for guidance

Read vs Write Decision Matrix

SituationActionReason
Just wrote a fileDON'T readContent still in context
Viewed image/PDFWrite findings NOWMultimodal → text before lost
Browser returned dataWrite to fileScreenshots don't persist
Starting new phaseRead plan/findingsRe-orient if context stale
Error occurredRead relevant fileNeed current state to fix
Resuming after gapRead all planning filesRecover state

The 5-Question Reboot Test

If you can answer these, your context management is solid:

QuestionAnswer Source
Where am I?Current phase in task_plan.md
Where am I going?Remaining phases
What's the goal?Goal statement in plan
What have I learned?findings.md
What have I done?progress.md

When to Use This Pattern

Use for:

  • Multi-step tasks (3+ steps)
  • Research tasks
  • Building/creating projects
  • Tasks spanning many tool calls
  • Anything requiring organization

Skip for:

  • Simple questions
  • Single-file edits
  • Quick lookups

Templates

Copy these templates to start:

Scripts

Helper scripts for automation:

  • scripts/init-session.sh — Initialize all planning files
  • scripts/check-complete.sh — Verify all phases complete

Advanced Topics

Anti-Patterns

Don'tDo Instead
Use TodoWrite for persistenceCreate task_plan.md file
State goals once and forgetRe-read plan before decisions
Hide errors and retry silentlyLog errors to plan file
Stuff everything in contextStore large content in files
Start executing immediatelyCreate plan file FIRST
Repeat failed actionsTrack attempts, mutate approach
Create files in skill directoryCreate files in your project

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two quarters.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

benchflow-ai/skillsbench1.9천2026년 10월 13일 업데이트

AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching `acopf-math-model.md` and MATPOWER branch fields. Use when computing branch flows in either direction, aggregating bus injections for nodal balance, checking MVA (rateA) limits, computing branch loading %, or debugging sign/units issues in AC power flow.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

benchflow-ai/skillsbench1.9천2026년 10월 13일 업데이트

Redact text from PDF documents for blind review anonymization

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

benchflow-ai/skillsbench1.9천2026년 10월 13일 업데이트

Use when checking simplified ADA-derived plan-view bathroom accessibility constraints such as turning space, door clear width, toilet centerline, grab bars, and lavatory knee/toe clearance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

benchflow-ai/skillsbench1.9천2026년 10월 13일 업데이트

Analyze failed GitHub Action jobs for a pull request.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

benchflow-ai/skillsbench1.9천2026년 10월 13일 업데이트

Use when extracting plan-view architectural geometry from DXF files with semantic CAD layers, especially when outputs must normalize rooms, doors, fixtures, clearances, and grab bars into machine-checkable JSON.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

benchflow-ai/skillsbench1.9천2026년 10월 13일 업데이트

benchflow-ai의 스킬 모두 보기

이 스킬의 문제 신고