Land Skills Into Repo

Land Skills Into a Repository

Purpose

Standardize the "landing" process for Agent Skills so a skills bundle can be applied to any repository and consumed by any LLM/agent runtime that implements the folder-based SKILL.md convention.

The land-skills-into-repo skill provides:

• A repeatable workflow (manual + scripted).
• A script (.ai/skills/workflows/skill-operation/land-skills-into-repo/scripts/land_skills.py) that performs a safe, auditable install/update with dry-run by default.

Note: Provider stubs (for .codex/skills/, .claude/skills/, etc.) should be generated using node .ai/scripts/sync-skills.mjs, not the land_skills.py script.

When to use

Use the land-skills-into-repo skill when:

• You have a skills bundle (folder or .zip) and need to install it into a target repo's SSOT.
• You need to update an existing skills install and want a diff-aware process.

Do not use the skill when:

• You only need to author one new skill from scratch (use a skill-creator workflow instead).
• You are not allowed to modify the target repository (run in --plan mode only).
• You need to sync SSOT to provider roots (use node .ai/scripts/sync-skills.mjs instead).

Inputs

You MUST obtain:

• repo_root: Path to the target repository root (default: current working directory).
• source: Path to a skills bundle:
  • a directory containing one or more skill folders, or
  • a directory containing an SSOT tree (for example a folder that contains .ai/skills/), or
  • a .zip file containing either of the above.

You MAY additionally provide:

• ssot_dir: Destination SSOT directory inside the repo (default: .ai/skills).
• config: A JSON config file (see .ai/skills/workflows/skill-operation/land-skills-into-repo/templates/landing-config.schema.json and .ai/skills/workflows/skill-operation/land-skills-into-repo/templates/landing-config.example.json).

Outputs

The skill writes:

• SSOT install/update:
  • repo_root/.ai/skills/** (default) or your chosen ssot_dir.
• Backups (optional, only when overwriting):
  • repo_root/.ai/.backups/skills-landing/<timestamp>/... (default).

The script always produces a plan/report to stdout; it can also emit JSON via --json-report.

Steps

Step 1: Dry-run (MUST)

From repo root, run:

python3 .ai/skills/workflows/skill-operation/land-skills-into-repo/scripts/land_skills.py \
  --repo-root /path/to/repo \
  --source /path/to/skills-bundle.zip \
  --plan

Rules:

• You MUST start with --plan for a new repo or unknown state.
• Do not overwrite files unless you explicitly enable overwriting (see Step 2).

Step 2: Apply (only after review)

After reviewing the plan output, apply changes:

python3 .ai/skills/workflows/skill-operation/land-skills-into-repo/scripts/land_skills.py \
  --repo-root /path/to/repo \
  --source /path/to/skills-bundle.zip \
  --apply \
  --overwrite=changed \
  --backup

Recommended defaults:

• --overwrite=changed (overwrite only if content differs)
• --backup (capture overwritten files)

Step 3: Verify (MUST)

Run verification after applying:

python3 .ai/skills/workflows/skill-operation/land-skills-into-repo/scripts/land_skills.py \
  --repo-root /path/to/repo \
  --verify

The verifier checks:

• Every installed skill has a SKILL.md with YAML frontmatter.
• name is present and unique.
• No forbidden/accidental copy targets (configurable).

Step 4: Sync provider stubs (recommended)

After landing skills into the SSOT, generate provider stubs:

# Run from repo root.
node .ai/scripts/sync-skills.mjs --scope current --providers both --mode reset --yes

This generates lightweight wrapper stubs in .codex/skills/ and .claude/skills/ that point to the SSOT.

Verification

• Dry-run (--plan) completed before apply
• Plan output reviewed for expected changes
• Apply completed without errors
• Verification (--verify) passed
• Every installed skill has valid YAML frontmatter
• Provider stubs synced after landing

Boundaries

• MUST NOT apply without reviewing dry-run plan first
• MUST obtain explicit approval before applying changes to a shared or protected repository
• MUST NOT delete or prune anything unless --prune is explicitly set
• MUST NOT skip verification after apply
• SHOULD create backups before overwriting (--backup)
• SHOULD default to non-destructive mode (--plan) when --apply is not provided
• SHOULD sync provider stubs after landing skills

Included assets

• .ai/skills/workflows/skill-operation/land-skills-into-repo/scripts/land_skills.py: installer/verifier (stdlib-only Python).
• .ai/skills/workflows/skill-operation/land-skills-into-repo/templates/landing-config.schema.json: optional config schema.
• .ai/skills/workflows/skill-operation/land-skills-into-repo/templates/landing-config.example.json: optional config example.
• .ai/skills/workflows/skill-operation/land-skills-into-repo/examples/: minimal runnable scenarios.

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