end-to-end-orchestrator
Orchestrates software tasks end to end by delegating planning, phased implementation, review, and final reporting to specialized subagents.
Skill by KFlamsted
Chalk Labs
Need help deploying end-to-end-orchestrator?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
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/kflamsted-end-to-end-orchestrator
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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/end-to-end-orchestrator
What's inside
- Skill name
end-to-end-orchestrator- Description
- Orchestrates software tasks end to end by delegating planning, phased implementation, review, and final reporting to specialized subagents.
- License
- MIT
- Instructions
- 69 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# End-to-End-Orchestrator The goal of this session is to take a software task given by the human (via a prompt) and take that prompt all the way to final implementation. You are the coordinator/orchestrator in this end to end process. The end-to-end process consists of the following steps: 1. Create an implementation plan for the task. (See [Create Implementation Plan](#create-implementation-plan)) 2. Implement and review each plan phase by invoking the `implement-plan-loop` skill once per phase. (See [Implement and Review Code loop](#implement-and-review-code-loop)) 3. Conduct a final summary of the entire process. (See [Final Summary](#final-summary)) Each step is described in detail in the referenced subsections. Do not plan, implement, or review code yourself. Delegate those tasks to subagents, coordinate the workflow, and produce the final summary. ## Input - A task description from the user. ## Required Skills and Subagents - IMPORTANT! This workflow requires the following skill to be available: - `implement-plan-loop` — runs the implementer-to-reviewer loop for one plan phase. This workflow requires the following subagents to be available: - `task-planner` — creates the phased implementation plan and raises clarification questions. - `code-implementer` — implements and validates a plan phase (spawned through `implement-plan-loop`). - `code-reviewer` — reviews a plan phase (spawned through `implement-plan-loop`). - `clean-solid-code-reviewer` — reviews a plan phase for Clean Code and SOLID quality (spawned through `implement-plan-loop`). Mandatory for this workflow. It is very important before starting the workflow, to ensure the skill and all required subagent types are available - They must have the exact same name and you may not generate them or spawn any agent with a similar name. If any of these are unavailable, stop the workflow and report the missing dependency rather than substituting another skill or agent, or performing its responsibilities yourself. Because this check runs before planning, it replaces the workaround question in `implement-plan-loop`'s own subagent check. ## Create Implementation Plan The goal of this section is to create an implementation plan. Spawn the `task-planner` subagent with the user's task description as its complete prompt, reproduced verbatim. Do not summarize, rewrite, interpret, annotate, or supplement it. Do not add output-format or workflow instructions; rely on the `task-planner`'s own instructions. If the planner requests clarification or confirmation, relay its questions to the human and wait for their response. Do not answer or infer answers yourself. Then continue the same planner session when supported; otherwise spawn a new `task-planner` with the original task, preserved planner context, and the complete clarification question-and-answer history. Repeat until the plan is written. Before proceeding, ensure the plan is divided into practical implementation phases. If a phase is too large, ask the planner to divide it without changing scope, resuming it when supported or reinvoking it with the prior planning context. Once the plan is ready, proceed to the [Implement and Review Code loop](#implement-and-review-code-loop). ## Implement and Review Code loop Ensure the implementation plan exists in the project. Treat each plan phase as one implementation unit; if the plan has no phases, treat the full plan as one unit. Optionally track these units with `todowrite`. For each unit, in order, invoke the `implement-plan-loop` skill and follow its instructions with this input: - the implementation plan file path; - the current unit as the only implementation scope: implement only this phase and use the rest of the plan as read-only context; - an explicit request for the clean-solid review (`clean-solid-code-reviewer`) for this phase; - any constraints, validation requirements, or stopping rules from the human. Invoke the skill separately for every unit; never run it over the full plan when the plan has phases. `implement-plan-loop` owns the implementation/review rounds, the reviewers, and when a unit is approved; do not restate or override them. Its own skip rule (see its Bigger-Change Trigger section) still applies, so the clean-solid review may be skipped for some phases. When the loop for a unit finishes: - If it reports final approval, record its report (rounds, clean-solid result, changed files, validation, deferred items) and continue with the next unit without waiting for the human. Do not present its per-unit commit message suggestion. - If it stops on a blocker, stop the workflow and report the blocker to the human. After all units are approved, proceed to [Final Summary](#final-summary). ## Final Summary After all implementation units are approved, report: - the original task and implementation plan; - the units completed and, per unit, the implementation/review rounds and the clean-solid result (whether it ran and why or why not; if it ran, its final score and deferred findings); - the final approval status; - the changed files and a brief summary of the changes; - validation performed and its results; - unresolved blockers or intentionally deferred items, if any; - one suggested commit message for the whole change, if applicable - use the `commit-message-generate` skill for this if available. Do not claim validation was performed unless it was reported by a subagent. ## Extra Rules and Guidelines - Remain the orchestrator; do not plan, implement, or review code yourself. - `implement-plan-loop` owns the implementer/reviewer round mechanics, approval criteria, fix forwarding, human escalation for findings, and stuck-loop handling. Follow it rather than duplicating or overriding those rules. - Invoke `implement-plan-loop` once per plan phase, in plan order, and start a phase only after the previous one is approved.
From KFlamsted/agent-workflow-kit, MIT.
More from KFlamsted/agent-workflow-kit
- 0.561score
implement-plan-loop
KFlamsted
Starts a delegated implementation loop from an implementation plan or freeform task prompt.
SkillAFreshness: AClaude Code +9 - 0.529score
hology-game-engine
KFlamsted
Reference for building games with the Hology engine (a TypeScript/Three.js game framework).
SkillBFreshness: BClaude Code +9 - 0.521score
improve-human-spec-review
KFlamsted
Guide a human through reviewing a specification or implementation plan in clear, meaningful chunks without reviewing or editing the document for them.
SkillBFreshness: BClaude Code +9 - 0.521score
review-findings-to-plan
KFlamsted
Explicitly invoked workflow for discussing review findings one by one and converting agreed fixes into an implementation plan.
SkillBFreshness: BClaude Code +9 - 0.521score
code-review
KFlamsted
Explicitly invoked workflow for thoroughly reviewing the current branch against master or main without making code changes.
SkillBFreshness: BClaude Code +9 - 0.521score
clean-solid-review-loop
KFlamsted
Runs a Clean/SOLID quality review/fix loop until a 10/10 score, with a required behavior code-reviewer after each implementer.
SkillBFreshness: BClaude Code +9 - 0.521score
end-to-end-orchestrator-detailed
KFlamsted
Orchestrates a software task through Gherkin behaviour planning, research, optional architecture, an INVEST implementation plan, then implement/review with…
SkillBFreshness: BClaude Code +9 - 0.518score
code-implementation-loop-orchestrator
KFlamsted
Coordinates an implementation/review loop by delegating all code writing and reviewing to subagents.
SkillBFreshness: BClaude Code +9 - 0.518score
code-review-loop
KFlamsted
Runs a reviewer-first code review/fix loop by delegating review and implementation to dedicated subagents.
SkillBFreshness: BClaude Code +9 - 0.518score
create-implementation-plan
KFlamsted
Explicitly invoked workflow for creating a concrete implementation plan file from a requested task.
SkillBFreshness: BClaude Code +9 - 0.518score
commit-message-generate
KFlamsted
Generates a concise commit message from provided changes without running git commands.
SkillBFreshness: BClaude Code +9 - 0.513score
implement-plan
KFlamsted
Explicitly invoked workflow for implementing an existing plan file in the repository.
SkillBFreshness: BClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 30, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/KFlamsted/agent-workflow-kit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from KFlamsted
- 0.561score
implement-plan-loop
KFlamsted
Starts a delegated implementation loop from an implementation plan or freeform task prompt.
SkillAFreshness: AClaude Code +9 - 0.529score
hology-game-engine
KFlamsted
Reference for building games with the Hology engine (a TypeScript/Three.js game framework).
SkillBFreshness: BClaude Code +9 - 0.521score
review-findings-to-plan
KFlamsted
Explicitly invoked workflow for discussing review findings one by one and converting agreed fixes into an implementation plan.
SkillBFreshness: BClaude Code +9 - 0.521score
clean-solid-review-loop
KFlamsted
Runs a Clean/SOLID quality review/fix loop until a 10/10 score, with a required behavior code-reviewer after each implementer.
SkillBFreshness: BClaude Code +9 - 0.521score
code-review
KFlamsted
Explicitly invoked workflow for thoroughly reviewing the current branch against master or main without making code changes.
SkillBFreshness: BClaude Code +9 - 0.521score
end-to-end-orchestrator-detailed
KFlamsted
Orchestrates a software task through Gherkin behaviour planning, research, optional architecture, an INVEST implementation plan, then implement/review with…
SkillBFreshness: BClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get end-to-end-orchestrator running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
end-to-end-orchestrator skill. Agent Mart. https://agentmart.dev/skills/kflamsted-end-to-end-orchestrator (last updated 2026-10-24)