Agent skill

Implementation Planning

by josstei in josstei/maestro-orchestrate

Generates detailed implementation plans from finalized designs

Apache-2.0Auto-check passedAgent Workflows

Install Implementation Planning

skills CLI
$ npx skills add josstei/maestro-orchestrate --skill implementation-planning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install josstei/maestro-orchestrate implementation-planning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/josstei/maestro-orchestrate.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/skills/shared/implementation-planning .claude/skills/implementation-planning && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
implementation-planning
GitHub stars
465
Token cost
~4.4k tokens
SKILL.md length
1,948 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
Apache-2.0

At a glance

Generates detailed implementation plans from finalized designs

  • Works in 6 steps: Foundation First: Infrastructure,… → Dependencies Flow Downward: A phase can… → Single Responsibility: Each phase… → …
  • Tasks that involve Planning
  • SKILL.md covers Codebase Grounding, Plan Generation Methodology, Implementation Detail… and Agent Assignment Criteria, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Implementation Planning is an agent skill from josstei/maestro-orchestrate. Generates detailed implementation plans from finalized designs

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Planning. The repository describes itself as: Multi-agent orchestration platform for Gemini CLI, Claude Code, Codex, and Qwen Code — 39 specialists, parallel subagents, persistent sessions, and built-in code review…. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Planning

Example prompts

  • “Use the implementation-planning skill to generate detailed implementation plans from finalized designs”
  • “/implementation-planning”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Foundation First: Infrastructure, configuration, and shared types/interfaces come first
  2. Dependencies Flow Downward: A phase can only depend on phases with lower IDs
  3. Single Responsibility: Each phase delivers a cohesive unit of functionality
  4. Agent Alignment: Each phase maps to one or two agent specializations
  5. Agent Capability Match: Verify the assigned agent's tool tier supports the phase deliverables (see compatibility check below)
  6. Testability: Each phase should be independently validatable

What it can do on your machine

Read from SKILL.md and the folder at commit 4f5d434. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Implementation Planning loads about 4.4k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 1,948 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from josstei/maestro-orchestrate at commit 4f5d434, republished under its Apache-2.0 licence (© josstei). 1,948 words, ~4,381 tokens.

Download SKILL.mdSave it as .claude/skills/implementation-planning/SKILL.md (or your agent's skills folder).
name
implementation-planning
description
Generates detailed implementation plans from finalized designs

Implementation Planning Skill

Standard workflow only. If task_complexity is simple and workflow mode is Express, do not activate this skill. Simple tasks use the Express workflow, which does not activate implementation-planning. Return to the Express Workflow section.

Activate this skill during Phase 2 of Maestro orchestration, after the design document has been approved. This skill provides the methodology for generating detailed, actionable implementation plans that map directly to subagent assignments.

Codebase Grounding

Do not generate an implementation plan from guesses about the repository.

Use the built-in codebase_investigator before phase decomposition when:

  • The task modifies an existing codebase
  • File ownership, integration points, or validation commands are still unclear after reading the approved design
  • Parallelization decisions depend on understanding current module boundaries or likely file overlap

Ask the investigator for:

  • The modules and files most likely to change
  • Existing architectural boundaries and conventions the plan must preserve
  • Integration seams, dependencies, and shared ownership hotspots
  • Validation commands and test entry points already used by the project
  • Parallelization or conflict risks that should prevent batching

Skip the investigator only for greenfield tasks, documentation-only work, or plans where the current turn already established the relevant repo structure from direct reads.

Reuse investigator findings directly in the implementation plan:

  • File inventories should reflect real candidate paths, not placeholders
  • Validation criteria should prefer repo-native commands the investigator surfaced
  • Parallel batches should account for actual ownership overlap and conflict risk

Plan Generation Methodology

Input Analysis

Before generating the plan, thoroughly analyze the approved design document for:

  • Read task_complexity from the approved design document's frontmatter. Apply phase count guidance and domain analysis scaling accordingly. Record task_complexity in implementation plan frontmatter.
  • Components and their responsibilities
  • Interfaces and contracts between components
  • Data models and their relationships
  • External dependencies and integrations
  • Technology stack decisions
  • Quality requirements that influence implementation order
Phase Decomposition

Break the implementation into phases following these principles:

  1. Foundation First: Infrastructure, configuration, and shared types/interfaces come first
  2. Dependencies Flow Downward: A phase can only depend on phases with lower IDs
  3. Single Responsibility: Each phase delivers a cohesive unit of functionality
  4. Agent Alignment: Each phase maps to one or two agent specializations
  5. Agent Capability Match: Verify the assigned agent's tool tier supports the phase deliverables (see compatibility check below)
  6. Testability: Each phase should be independently validatable
Phase Ordering Strategy
Layer 1: Foundation (types, interfaces, configuration)
    |
Layer 2: Core Domain (business logic, data models)
    |
Layer 3: Infrastructure (database, external services, API layer)
    |
Layer 4: Integration (connecting components, middleware)
    |
Layer 5: Quality (testing, security review, performance)
    |
Layer 6: Documentation & Polish
Agent-Deliverable Compatibility Check

Before finalizing agent assignments, verify each phase's agent can deliver its requirements:

Phase DeliverableRequired TierCompatible Agents
Creates/modifies filesFull Access or Read+Writeanalytics-engineer, cobol-engineer, coder, copywriter, data-engineer, design-system-engineer, devops-engineer, hlasm-assembler-specialist, i18n-specialist, ibm-i-specialist, integration-engineer, ml-engineer, mlops-engineer, mobile-engineer, observability-engineer, platform-engineer, product-manager, prompt-engineer, refactor, release-manager, technical-writer, tester, ux-designer
Runs shell commandsFull Access or Read+Shellaccessibility-specialist, analytics-engineer, cobol-engineer, coder, data-engineer, database-administrator, db2-dba, debugger, design-system-engineer, devops-engineer, hlasm-assembler-specialist, i18n-specialist, ibm-i-specialist, integration-engineer, ml-engineer, mlops-engineer, mobile-engineer, observability-engineer, performance-engineer, platform-engineer, refactor, security-engineer, seo-specialist, site-reliability-engineer, tester, zos-sysprog
Analysis/review onlyAny tierAll agents
<HARD-GATE>
Read-Only agents (architect, api-designer, cloud-architect, code-reviewer, compliance-reviewer, content-strategist, solutions-architect)
CANNOT be assigned to phases that create or modify files. If a phase requires file creation
and domain expertise from a Read-Only agent, split it: the Read-Only agent produces a spec
or analysis, then a write-capable agent (typically coder) implements the files based on that output.
</HARD-GATE>
Phase Count Guidance

Scale decomposition granularity to task_complexity (read from design document frontmatter):

  • simple: 1-3 phases. Prefer single-phase execution when feasible. Combine foundation + implementation. Skip separate documentation/polish phases.
  • medium: 3-5 phases. Use the layer model but combine Quality and Documentation into the final implementation phase where practical.
  • complex: No phase count cap. Full layer decomposition strategy applies.
Parallelization Identification

Phases can run in parallel when:

  • They have no shared file dependencies (no overlapping files_created or files_modified)
  • They are at the same dependency depth (same layer)
  • They do not share data model ownership
  • Their validation can run independently

Mark parallel-eligible phases with parallel: true and group them into execution batches.

Implementation Detail Requirements

Per-Phase Specification

Each phase in the plan must include:

Objective

A clear, measurable statement of what this phase delivers.

Agent Assignment

Which agent(s) execute this phase, with rationale for selection.

Files to Create

For each new file:

  • Full relative path from project root
  • Purpose and responsibility
  • Key interfaces, classes, or functions to define
  • Complete type signatures for public APIs
Files to Modify

For each existing file:

  • Full relative path from project root
  • Specific changes required and why
  • Expected before/after for critical sections
Implementation Details

Provide sufficient detail for the assigned agent to execute without ambiguity:

  • Interface definitions with complete type signatures
  • Base class contracts with abstract method signatures
  • Dependency injection patterns and registration points
  • Error handling strategy (error types, propagation, recovery)
  • Configuration requirements (environment variables, config files)
Validation Criteria

Specific commands to run and expected outcomes:

  • Build/compile commands
  • Lint/format checks
  • Unit test commands
  • Integration test commands (if applicable)
  • Manual verification steps (if applicable)
Dependencies
  • blocked_by: Phase IDs that must complete before this phase starts
  • blocks: Phase IDs that cannot start until this phase completes
Dependency Minimization

List only direct blockers in blocked_by. Do not include transitive dependencies — they inflate dependency depth and prevent parallelism.

Anti-pattern (over-specified):

  • Phase 2: blocked_by: [1]
  • Phase 3: blocked_by: [1, 2] — Phase 1 is redundant, already reachable via Phase 2
  • Phase 4: blocked_by: [1, 2, 3] — Phases 1, 2 are redundant

Result: depths 0, 1, 2, 3 — zero parallel phases.

Correct (minimized):

  • Phase 2: blocked_by: [1]
  • Phase 3: blocked_by: [1] — Only needs Phase 1 output, not Phase 2
  • Phase 4: blocked_by: [2, 3] — Needs both done

Result: depths 0, 1, 2 — Phases 2 and 3 run in parallel at depth 1.

Ask for each dependency: "Does this phase truly need the output of that specific phase, or is it transitively covered?"

If validate_plan is available, review its parallelization_profile and redundant_dependency warnings before presenting the plan. Revise blocked_by to eliminate redundancies when possible.

Agent Assignment Criteria

Matching Tasks to Agents
Task DomainPrimary AgentSecondary AgentRationale
System design, architecturearchitect-Read-only analysis, design expertise
Cloud architecture, multi-region topologycloud-architectdevops-engineerArchitecture first, implementation second
Enterprise integration architecturesolutions-architectintegration-engineerCross-team design before implementation
API contracts, endpointsapi-designercoderDesign then implement
Feature implementationcoder-Full implementation access
Code quality reviewcode-reviewer-Read-only verification
Database schema, queriesdata-engineer-Schema + implementation
RDBMS tuning, indexes, migration safetydatabase-administratordata-engineerDBA analysis before schema/code changes
DB2 administrationdb2-dbadata-engineerDB2-specific operations and design
Bug investigationdebugger-Read + shell for investigation
CI/CD, infrastructuredevops-engineer-Full DevOps access
Internal platforms, paved pathsplatform-engineerdevops-engineerPlatform conventions and implementation
B2B integrations, ETL, message brokersintegration-engineer-Full integration implementation
SLOs, runbooks, reliabilitysite-reliability-engineerobservability-engineerReliability assessment plus telemetry implementation
Observability, metrics, tracesobservability-engineer-Full telemetry implementation
Performance analysisperformance-engineer-Read + shell for profiling
Code restructuringrefactor-Write + shell access (for validation)
Security assessmentsecurity-engineer-Read + shell for scanning
Test creationtester-Full test implementation
Documentationtechnical-writer-Write access for docs
Release notes, changelogs, rolloutrelease-manager-Write access for release artifacts
Technical SEO auditseo-specialist-Read + shell + web search
Marketing copy, contentcopywriter-Read/write
Content planningcontent-strategist-Read + web search/fetch
UX design, user flowsux-designer-Read/write + web search
WCAG compliance auditaccessibility-specialist-Read + shell + web search
Requirements, productproduct-manager-Read/write + web search
Tracking, analyticsanalytics-engineercoderImplement then instrument
Internationalizationi18n-specialistcoderImplement then localize
Design tokens, themingdesign-system-engineercoderTokens then consume
Legal, regulatorycompliance-reviewer-Read + web search/fetch
Mobile platform workmobile-engineertesterMobile implementation plus validation
Model training, inference integrationml-engineertesterML implementation plus evaluation
Model registry, drift, model CI/CDmlops-engineerdevops-engineerModel operations and deployment
Prompt design, few-shot, RAG tuningprompt-engineercoderPrompt spec before integration
Mainframe COBOL, JCL, CICS/IMScobol-engineertesterMainframe implementation and validation
IBM HLASM for z/OShlasm-assembler-specialist-Assembly implementation
IBM i RPG/CL, DB2 for iibm-i-specialist-IBM i implementation
z/OS systems programming, JCL, RACFzos-sysprogsecurity-engineerSystem-level analysis and controls
Show full SKILL.md (715 more words)Show less
Assignment Rules
  1. Match the primary task domain to the agent specialization
  2. Consider tool requirements — does the task need shell access? Write access?
  3. For parallel phases, assign non-overlapping file ownership to each agent
  4. Prefer single-agent phases for clarity; use multi-agent only when distinct specializations are needed
  5. Never assign more files to an agent than it can handle within its max_turns limit
Token Budget Estimation

Estimate token consumption per phase based on:

  • Number of files to read (input tokens)
  • Complexity of output expected (output tokens)
  • Agent's max_turns limit as upper bound
  • Historical averages: ~500 input tokens per file read, ~200 output tokens per file written
Resource Estimation

Do not invent provider pricing or model tiers. Agent model selection is runtime-owned through agent frontmatter and runtime configuration. Estimate execution size in stable, codebase-derived terms instead:

  • Input complexity: number of files likely to be read, average file size, and prior-phase context
  • Output complexity: number of files created or modified, validation output volume, and expected handoff detail
  • Retry budget: note phases likely to need retries because of broad file ownership, external dependencies, or uncertain validation

Include a lightweight plan-level resource summary when useful:

PhaseAgentEst. Files ReadEst. Files WrittenRetry RiskNotes
1[agent][N][N]LOW/MEDIUM/HIGH[why]

Plan Document Generation

Output Location

The write path depends on whether your runtime provides a Plan Mode surface (check get_runtime_context, loaded at session start, step 0).

  • Plan Mode active: Some runtimes restrict writes to a temporary staging directory during Plan Mode. Write the plan there first, then copy to the permanent location after approval. Call exit_plan_mode with the plan path to present the plan for user approval.
  • Plan Mode not active or not available: Write the implementation plan directly to the project's plans directory.

Permanent location: <state_dir>/plans/YYYY-MM-DD-<topic-slug>-impl-plan.md (where <state_dir> resolves from MAESTRO_STATE_DIR, default docs/maestro).

If your runtime does not provide a Plan Mode transition, track planning progress using the plan-update mechanism from your runtime context, write directly to the final location, and use the user-prompt tool from runtime context for the approval gate.

Document Structure

Use the implementation-plan template loaded via get_skill_content.

Required Sections
  1. Plan Overview: Summary of total phases, agents involved, estimated effort
  2. Dependency Graph: Visual representation showing phase dependencies and parallel opportunities
  3. Execution Strategy Table: Stage-by-stage breakdown with agent assignments and execution mode
  4. Phase Details: Full specification for each phase (objective, agent, files, details, validation, dependencies)
  5. File Inventory: Complete table mapping every file to its phase and purpose
  6. Risk Classification: Per-phase risk assessment (LOW/MEDIUM/HIGH) with rationale
  7. Execution Profile: Summary of parallel vs sequential characteristics to inform mode selection:
    Execution Profile:
    - Total phases: [N]
    - Parallelizable phases: [M] (in [B] batches)
    - Sequential-only phases: [S]
    - Estimated parallel wall time: [time estimate based on batch execution]
    - Estimated sequential wall time: [time estimate based on serial execution]
    
    Note: Native parallel execution currently runs agents in autonomous mode.
    All tool calls are auto-approved without user confirmation.
Completion Criteria

The implementation plan is complete when:

  • Every component from the design document maps to at least one phase
  • All phase dependencies are acyclic (no circular dependencies)
  • Parallel opportunities are identified and marked
  • Each phase has clear validation criteria
  • File ownership is non-overlapping for parallel phases
  • The user has given explicit approval of the complete plan

Before presenting the plan for approval, check whether validate_plan appears in your available tools. If it does, call it with the plan structure and task_complexity to verify phase count constraints, file ownership, acyclic dependencies, and agent validity. If it does not, self-check against the phase count limits above.

Post-Generation

After writing the implementation plan:

  1. Confirm the file path to the user
  2. Present the dependency graph and execution strategy
  3. Highlight parallel execution opportunities
  4. Provide resource estimates when useful
  5. If your runtime provides Plan Mode, call exit_plan_mode with the plan path to present the plan for user approval. If Plan Mode is not available, present the completed plan for user approval using the user-prompt tool from runtime context.
  6. Ensure the approved plan is at <state_dir>/plans/YYYY-MM-DD-<slug>-impl-plan.md as the permanent project reference (copy from the staging directory if Plan Mode was used)
  7. Ask if the user is ready to proceed to execution (Phase 3)
  8. Upon approval, create the session state file via the session-management skill

© josstei, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in src/skills/shared/implementation-planning of josstei/maestro-orchestrate.

Open the folder on GitHubat commit 4f5d434

Compare with similar skills

Implementation Planning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Implementation Planning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implementation Planning this skilljosstei/maestro-orchestrate465—~4.4kAutomated safety check: PassApache-2.0
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills102k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16356 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone

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Categories

Questions about Implementation Planning

What does Implementation Planning do?

Generates detailed implementation plans from finalized designs. Implementation Planning is an agent skill from josstei/maestro-orchestrate.

When should I use Implementation Planning?

Implementation Planning fits situations like: tasks that involve Planning.

How do I install Implementation Planning in Claude Code?

Run `npx skills add josstei/maestro-orchestrate --skill implementation-planning -a claude-code`. Or copy the skill folder (src/skills/shared/implementation-planning in josstei/maestro-orchestrate) into .claude/skills/implementation-planning in your project. Claude Code loads it when a task matches its description.

How do I install Implementation Planning in Codex?

Run `npx skills add josstei/maestro-orchestrate --skill implementation-planning -a codex`. Or copy the skill folder (src/skills/shared/implementation-planning in josstei/maestro-orchestrate) into .agents/skills/implementation-planning in your project. Codex loads it when a task matches its description.

Can I use Implementation Planning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add josstei/maestro-orchestrate --skill implementation-planning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementation-planning, .gemini/skills/implementation-planning, .github/skills/implementation-planning and .opencode/skills/implementation-planning in your project.

What does Implementation Planning need to run?

SKILL.md names no scripts, command-line tools or credentials: Implementation Planning is instructions for the agent only.

Does Implementation Planning access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Implementation Planning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Implementation Planning use?

Implementation Planning is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Implementation Planning use?

About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Implementation Planning?

Skills that share tags, products or a category with Implementation Planning: Executing Plans Inline (obra/superpowers, 296k stars), Interview Me (addyosmani/agent-skills, 102k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementation Planning?

josstei (a GitHub user) maintains it in josstei/maestro-orchestrate, which has 465 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.

Source: josstei/maestro-orchestrate on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.