---

name: dld-implement description: Implement one or more proposed decisions. Makes code changes, adds @decision annotations, and updates decision status. user_invocable: true

/dld-implement — Implement Decisions

You are implementing one or more proposed decisions by making code changes, adding @decision annotations, and updating the decision records.

Script Paths

Shared scripts:

.claude/skills/dld-common/scripts/regenerate-index.sh
.claude/skills/dld-common/scripts/update-status.sh

Skill-specific scripts:

.claude/skills/dld-implement/scripts/verify-annotations.sh

Prerequisites

1. Check that dld.config.yaml exists at the repo root. If not, tell the user to run /dld-init first and stop.
2. Parse the user's input to identify which decision(s) to implement:
   • Specific IDs: DL-005, DL-005 DL-006
   • By tag: tag:payment-gateway
   • No arguments: If the user runs /dld-implement without specifying decisions, find all decisions with status: proposed in the records subdirectory (decisions/records/) and implement all of them.
3. Read each referenced decision file. Verify they exist and have status: proposed. If a decision is already accepted, tell the user and skip it. If it doesn't exist, report the error.

Read project context

1. Read dld.config.yaml for project structure
2. Read decisions/PRACTICES.md if it exists — this is where practices guidance is most important. Apply the project's testing approach, code style, error handling patterns, and architecture conventions when writing code.
3. For namespaced projects, also read decisions/records/<namespace>/PRACTICES.md for namespace-specific practices

Implementation

Batch vs. single implementation

When multiple decisions are requested, decide whether to implement them individually or as a batch:

• Batch together decisions that are tightly coupled — they touch the same code, share types, or depend on each other so heavily that implementing one without the others would produce incomplete or throwaway code (e.g., a data model + its validation + its state machine).
• Implement separately decisions that are independent — they touch different areas of the codebase and can stand on their own.

When batching, implement all the code together, add annotations for all decisions, then update each decision record and status individually in step 4.

1. Understand the decision(s)

Read each decision record carefully. Understand:

• What was decided
• The rationale and constraints
• The code areas referenced
• Any superseded decisions (read those too for context on what changed)

2. Make code changes

Implement the decision(s) by modifying the codebase. Follow the practices manifest if one exists.

Refining decisions during implementation: While implementing, you may discover details that weren't anticipated during planning — a specific threshold value, an edge case handling approach, or a refinement to the original design. Since the decision is still in proposed status, it is mutable and can be updated:

• Small refinements (implementation details, specific values, edge cases that don't change the decision's intent) — update the decision record inline. Amend the Decision, Rationale, or Consequences sections as needed. This is expected and encouraged.
• Major discoveries (a fundamentally different approach is needed, or an entirely new design concern surfaces) — stop and suggest the user run /dld-decide to record a separate decision. If the new discovery invalidates the current decision, it may need to be superseded instead.

The boundary: if the discovery changes the intent of the decision, it's a new decision. If it refines the implementation details, update the current one.

3. Add @decision annotations

This step is mandatory. Every implemented decision MUST have at least one @decision(DL-NNN) annotation in the source code. Updating the decision record's references field alone is not sufficient. The annotation in code is what triggers AI agents to look up the decision before modifying the annotated code.

Add @decision(DL-NNN) annotations to the code you modified or created. Place annotations in comments near the relevant code.

Where to annotate:

• Functions, methods, or classes that embody the decision
• Configuration or constants that were chosen based on the decision
• Key logic branches where the decision's rationale matters

Annotation format (adapt comment syntax to the language):

// @decision(DL-012)
function calculateVAT(order: Order): Money {
  // ...
}

# @decision(DL-012)
def calculate_vat(order: Order) -> Money:
    ...

Guidelines:

• Annotate at the declaration level, not every line
• One annotation per decision per code location
• Multiple decisions can annotate the same code: // @decision(DL-012) @decision(DL-015)
• Use the annotation_prefix from dld.config.yaml (default: @decision)

4. Update decision records

For each implemented decision:

1. Update the references field in the decision record's YAML frontmatter. Edit the file directly — add the code paths and symbols that were annotated. Example:

   references:
     - path: src/billing/vat.ts
       symbol: calculateVAT
     - path: src/billing/vat.test.ts
   

2. Update status from proposed to accepted:

   bash .claude/skills/dld-common/scripts/update-status.sh DL-NNN accepted
   

5. Verify annotations

After updating all decision records, run the verification script to confirm every implemented decision has at least one @decision annotation in the codebase:

bash .claude/skills/dld-implement/scripts/verify-annotations.sh DL-005 DL-006

Pass all the decision IDs that were implemented. If any are missing annotations, the script will report them and exit with an error. Go back and add the missing annotations before proceeding.

6. Regenerate INDEX.md

bash .claude/skills/dld-common/scripts/regenerate-index.sh

7. Suggest next steps

Implemented and accepted: DL-NNN (<title>)

Code changes:

• src/billing/vat.ts — modified calculateVAT (annotated with @decision(DL-NNN))
• src/billing/vat.test.ts — added tests

Next steps:

• /dld-decide — record another decision
• /dld-audit — check for drift between decisions and code