---
name: commission-programme-4a4825291d78
description: Commission a project to the Programme SDLC bundle. Tailored entry point with Programme-specific audience guidance; equivalent to /sdlc-core:commission --option programme.
disable-model-invocation: true
argument-hint: "[--level production|enterprise]"
---
<!-- implements: DES-programme-skills-001 -->

# Commission to Programme

Install the `sdlc-programme` bundle into a project. Use this when:

- Team size 11-50 across 2-5 teams
- Specification maturity is formal or contract-first
- Blast radius is moderate-to-high
- Audit-friendly traceability matters but full regulated-industry traceability does not

For other team shapes:

- 1-2 person projects → use `commission-solo` (or `/sdlc-core:commission --option solo`)
- 3-10 person product teams → use the framework default (no commissioning needed)
- Regulated industries → use `commission-assured` (Phase E, future)

## Steps

```bash
LEVEL="${1:-production}"  # default production for Programme

if [ -n "$1" ] && [ "$1" != "--level" ]; then
    echo "Usage: commission-programme [--level production|enterprise]" >&2
    exit 1
fi
LEVEL="${2:-production}"

case "$LEVEL" in
    production|enterprise) ;;
    *)
        echo "Programme supports levels: production, enterprise" >&2
        exit 1
        ;;
esac

# Delegate to sdlc-core:commission with --option programme --level <LEVEL> --bundle-dir <Programme bundle path>
PROJECT_DIR=$(pwd)
BUNDLE_DIR="$CLAUDE_PLUGIN_ROOT"  # the sdlc-programme plugin's own root inside the container/install

# Sanity check the bundle dir
if [ ! -f "$BUNDLE_DIR/manifest.yaml" ]; then
    echo "Programme bundle manifest not found at $BUNDLE_DIR/manifest.yaml" >&2
    exit 1
fi

python3 << PYEOF
from datetime import datetime, timezone
from pathlib import Path

from sdlc_core_scripts.commission.installer import install_bundle
from sdlc_core_scripts.commission.manifest import parse_manifest
from sdlc_core_scripts.commission.recorder import (
    CommissioningRecord, is_commissioned, write_record,
)

bundle_dir = Path("$BUNDLE_DIR")
project_dir = Path("$PROJECT_DIR")
team_config = project_dir / ".sdlc" / "team-config.json"

manifest = parse_manifest(bundle_dir / "manifest.yaml")

constitution = project_dir / "CONSTITUTION.md"
overwrite = is_commissioned(team_config)
if constitution.exists() and not overwrite:
    print(f"WARNING: {constitution} exists and project is uncommissioned.")
    response = input("Replace existing constitution and commission to Programme? [y/N] ")
    if response.lower() != "y":
        print("Aborted.")
        raise SystemExit(1)
    overwrite = True

result = install_bundle(bundle_dir, project_dir, manifest, overwrite=overwrite)
print(f"Installed {len(result.installed_paths)} files")

record = CommissioningRecord(
    sdlc_option="programme",
    sdlc_level="$LEVEL",
    commissioned_at=datetime.now(timezone.utc).isoformat(),
    commissioned_by="claude-agent",
    option_bundle_version=manifest.version,
)
write_record(team_config, record)
print(f"Commissioned: programme / $LEVEL / {manifest.version}")
PYEOF
```

## Done

Report:

- Bundle installed: `programme v0.1.0`
- Files written: count + key paths (CONSTITUTION.md, .claude/skills/, .sdlc/templates/)
- Commissioning record at: `.sdlc/team-config.json`
- Next steps:
  1. Read the new `CONSTITUTION.md` — it adds Programme-specific articles 12-14
  2. For your first feature, run: `phase-init requirements <feature-id>`
  3. Edit the requirements-spec, then `phase-gate requirements <feature-id>`
  4. Continue through design, test, and code phases

## Model selection

This skill is mostly mechanical (file copies, JSON writes). A smaller model is sufficient.


---
Source attribution: SteveGJones
Original project: https://github.com/SteveGJones/ai-first-sdlc-practices/blob/631a626ff044f069e445d40777a0951e491a8132/plugins/sdlc-programme/skills/commission-programme/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2024 Steve Jones

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: SteveGJones
Original project: https://github.com/SteveGJones/ai-first-sdlc-practices/blob/631a626ff044f069e445d40777a0951e491a8132/plugins/sdlc-programme/skills/commission-programme/SKILL.md
Attribution basis: Source repository record

Fields of work: Operations, Product Management, Project & Program Management
Roles: Operations Manager, Project Manager, Technical Product Manager
Specialties: Backend
Tools: Sdlc Core
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 769b8fcbe06f94b85536bea692ad19d58af6e86d78873e5f87bfc535c2428053