topology-planning
Generate a target architecture and migration plan from a discovery summary.
Skill by sarveshtalele
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sarveshtalele-topology-planning
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/topology-planning
What's inside
- Skill name
topology-planning- Description
- Generate a target architecture and migration plan from a discovery summary. Produces a migration_plan.md with target topology, ADRs, phased strategy, and risks. Trigger on: target architecture, migration plan, topology, modernization plan.
- License
- MIT
- Instructions
- 33 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (8)
- DOCS.md
- SKILL.md
- manifest.yaml
- patterns.md · references/
- __init__.py · scripts/
- main.py · scripts/
- migration_plan.md.tpl · templates/
- test_skill.py · tests/
SKILL.md (first lines)
# topology-planning
Turn a discovery summary into a target architecture and a phased, low-risk
migration plan with ADRs.
## When to use
After `legacy-discovery`, when defining the target state. Triggers: *target
architecture, migration plan, topology, modernization plan*.
## Inputs
- `discovery_summary` (string, required) — summary of the current system.
- `target_style` (string, optional) — `microservices` | `modular-monolith` | `serverless`.
## Outputs
- `migration_plan_markdown` — principles, ADRs, phased plan, risk table.
- `phases` — ordered phase objects `{id, name, goal}`.
## How it works
Selects a principle set for the chosen style and assembles a strangler-fig
migration across four phases with a risk/mitigation table.
## User stories
- *As an architect*, I get a defensible target architecture and an incremental
path, not a big-bang rewrite.
## Edge cases
- Unknown `target_style` → defaults to `microservices`.
- Empty summary → plan still renders with prompts to fill in.
## Files
See [DOCS.md](DOCS.md).From sarveshtalele/mcp-skills-registry, MIT.
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Signals
- Stars
- 3
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Jun 11, 2026 (4 months ago)
- Last release
- Jun 12, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
topology-planning skill. Agent Mart. https://agentmart.dev/skills/sarveshtalele-topology-planning (last updated 2026-10-24)