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implement_plan

The implement_plan skill executes technical plans from the Continuous-Claude framework by reading approved plan files, assessing risks through a pre-mortem check, and implementing changes either directly for small plans or through agent orchestration for larger multi-phase work. Use this skill when you have a stored technical plan with phases and success criteria that requires systematic execution with verification checkpoints.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3 /tmp/implement_plan && cp -r /tmp/implement_plan/.claude/skills/implement_plan ~/.claude/skills/implement_plan
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# Implement Plan

You are tasked with implementing an approved technical plan from `thoughts/shared/plans/`. These plans contain phases with specific changes and success criteria.

## Execution Modes

You have two execution modes:

### Mode 1: Direct Implementation (Default)
For small plans (3 or fewer tasks) or when user requests direct implementation.
- You implement each phase yourself
- Context accumulates in main conversation
- Use this for quick, focused implementations

### Mode 2: Agent Orchestration (Recommended for larger plans)
For plans with 4+ tasks or when context preservation is critical.
- You act as a thin orchestrator
- Agents execute each task and create handoffs
- Compaction-resistant: handoffs persist even if context compacts
- Use this for multi-phase implementations

**To use agent orchestration mode**, say: "I'll use agent orchestration for this plan" and follow the Agent Orchestration section below.

---

## Getting Started

When given a plan path:
- Read the plan completely and check for any existing checkmarks (- [x])
- Read the original ticket and all files mentioned in the plan
- **Read files fully** - never use limit/offset parameters, you need complete context
- Think deeply about how the pieces fit together
- Create a todo list to track your progress

### Pre-Implementation Risk Check

Before starting implementation, run a deep pre-mortem:

```
/premortem deep <plan-path>
```

This analyzes the plan against comprehensive checklists:
- Technical risks (scalability, dependencies, data, security)
- Integration risks (breaking changes, migration, rollback)
- Process risks (unclear requirements, stakeholder input)
- Testing risks (coverage gaps, load testing needs)

**If HIGH severity risks are identified:**
- The premortem will block via AskUserQuestion
- User must: accept risks explicitly, add mitigations, or research solutions
- If mitigations are added, update the plan before proceeding

**Skip premortem if:**
- Plan already has a "## Risks (Pre-Mortem)" section with mitigations
- User explicitly requests to skip (`--skip-premortem`)

After premortem passes, start implementing if you understand what needs to be done.

If no plan path provided, ask for one.

## Implementation Philosophy

Plans are carefully designed, but reality can be messy. Your job is to:
- Follow the plan's intent while adapting to what you find
- Implement each phase fully before moving to the next
- Verify your work makes sense in the broader codebase context
- Update checkboxes in the plan as you complete sections

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:
- STOP and think deeply about why the plan can't be followed
- Present the issue clearly:
  ```
  Issue in Phase [N]:
  Expected: [what the plan says]
  Found: [actual situation]
  Why this matters: [explanation]

  How should I proceed?
  ```

## Verification Approach

After implementing a phase:
- Run the success criteria checks (usually `make check test` covers everything)
- Fix any issues before proceeding
- Update your progress in both the plan and your todos
- Check off completed items in the plan file itself using Edit
- **Pause for human verification**: After completing all automated verification for a phase, pause and inform the human that the phase is ready for manual testing. Use this format:
  ```
  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.


## If You Get Stuck

When something isn't working as expected:
- First, make sure you've read and understood all the relevant code
- Consider if the codebase has evolved since the plan was written
- Present the mismatch clearly and ask for guidance

Use sub-tasks sparingly - mainly for targeted debugging or exploring unfamiliar territory.

## Resumable Agents

If the plan was created by `plan-agent`, you may be able to resume it for clarification:

1. Check `.claude/cache/agents/agent-log.jsonl` for the plan-agent entry
2. Look for the `agentId` field
3. To clarify or update the plan:
   ```
   Task(
     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 plan
- `oracle` - Researched best practices
- `debug-agent` - Investigated issues

## Resuming Work

If the plan has existing checkmarks:
- Trust that completed work is done
- Pick up from the first unchecked item
- Verify previous work only if something seems off

Remember: You're implementing a solution, not just checking boxes. Keep the end goal in mind and maintain forward momentum.

---

## Agent Orchestration Mode

When implementing larger plans (4+ tasks), use agent orchestration to stay compaction-resistant.

### Why Agent Orchestration?

**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:
- Starts with fresh context
- Implements one task
- Creates a handoff on completion
- Returns to orchestrator

Handoffs persist on disk. If compaction happens, you re-read handoffs and continue.

### Setup

1. **Create handoff directory:**
   ```bash
   mkdir -p thoughts/handoffs/<session-name>
   ```
   Use the session