executing-plans
Use when an approved plan exists and implementation should begin — executes steps sequentially with verification checkpoints
Skill by thesyntaxninja
Chalk Labs
Need help deploying executing-plans?
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/thesyntaxninja-executing-plans
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/executing-plans
What's inside
- Skill name
executing-plans- Description
- Use when an approved plan exists and implementation should begin — executes steps sequentially with verification checkpoints
- License
- MIT
- Instructions
- 91 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Executing Plans ## Quick Reference With an approved plan: execute step by step. Verify each step before moving to the next. If anything changes, pause and re-scope with the user. Ship working increments, not a big bang. ## When to Use - An approved plan exists (from `writing-plans`) - User has given explicit steps to follow - Resuming work on a partially-completed plan ## When NOT to Use - No plan exists yet (go to `writing-plans` first) - The task is small enough to do without a plan - The plan needs revision (go back to `writing-plans`) ## Core Process ### Step 1: Load the Plan Read the plan file. Identify: - Which steps are already done (check git history or markers) - Which step is next - Any blockers or dependencies ### Step 2: Execute Step by Step For each step: 1. **Announce**: Brief one-line status: "Working on step N: [name]" 2. **Implement**: Make the changes described in the step 3. **Verify**: Run the step's acceptance criteria 4. **Checkpoint**: If verification passes, move to the next step If the step's acceptance criteria fail: - Debug using `systematic-debugging` principles (reproduce, isolate, fix) - Do NOT skip to the next step ### Step 3: Parallel Opportunities While executing, look for steps that can run in parallel: - Independent steps with no shared state → use `dispatching-parallel-agents` - Multiple files with similar changes → use `subagent-driven-development` Only parallelize when steps are genuinely independent. When in doubt, run sequentially. ### Step 4: Scope Changes If during execution you discover: - A step is more complex than planned → pause, re-scope with the user - A new step is needed → add it, inform the user - A step is unnecessary → skip it, inform the user - The plan is fundamentally wrong → stop, discuss with the user **Never silently deviate from the plan.** The user approved a specific plan. Changes need acknowledgment. ### Step 5: Completion After all steps pass: 1. Run full project verification (build, lint, test) 2. Chain to `verification-before-completion` 3. Chain to `self-review` ## Progress Tracking Update the plan file as you go: - Mark completed steps with `[x]` or a "DONE" note - Note any deviations or discoveries - Keep the plan as a living document during execution ## Anti-Patterns | Anti-Pattern | Why It's Wrong | |--------------|----------------| | Implementing all steps then verifying at the end | Errors compound. Verify as you go. | | Silently adding scope during execution | The user approved X, not X + Y. | | Skipping verification for "easy" steps | Easy steps fail too. | | Abandoning the plan midway | If the plan is wrong, revise it — don't wing it. | | Not announcing progress | The user should know where you are. | | Big-bang implementation | Working increments are debuggable. Monoliths aren't. | ## Chaining REQUIRED: syntaxninja-dojo:verification-before-completion (after all steps complete) REQUIRED: syntaxninja-dojo:self-review (after verification passes) OPTIONAL: syntaxninja-dojo:subagent-driven-development (for parallelizable steps) OPTIONAL: syntaxninja-dojo:dispatching-parallel-agents (for independent steps)
From thesyntaxninja/syntaxninja-dojo, MIT.
More from thesyntaxninja/syntaxninja-dojo
- 0.443score
receiving-code-review
thesyntaxninja
Use when receiving code review feedback — requires technical verification of each suggestion before implementing, not blind agreement
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
requesting-code-review
thesyntaxninja
Use when implementation is complete and a comprehensive code review is needed — dispatches parallel review agents and merges findings
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
propose-skill-update
thesyntaxninja
Use when 3+ distinct occurrences suggest a skill should be updated with a new trigger, anti-pattern, or verification step
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
ralph-loop
thesyntaxninja
Use when task scope exceeds one context window and decomposes into independent pass/fail stories with clean iteration boundaries
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
self-review
thesyntaxninja
Use when implementation is complete and verification has passed — dispatches the sensei agent for fresh-context quality review
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
subagent-driven-development
thesyntaxninja
Use when executing an implementation plan with independent tasks that can be delegated to subagents within the current session
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
verification-before-completion
thesyntaxninja
Use when about to claim work is complete, fixed, or passing — requires running verification commands and confirming output before making any success claims
SkillDFreshness: D★ 2Claude Code +9 - 0.442score
prd-generator
thesyntaxninja
Use when a structured PRD document is needed for the ralph loop — generates prd.json and progress.txt
SkillDFreshness: D★ 2Claude Code +9 - 0.442score
writing-plans
thesyntaxninja
Use when a task requires multiple steps and benefits from a structured plan before implementation begins
SkillDFreshness: D★ 2Claude Code +9 - 0.442score
story-decomposition
thesyntaxninja
Use when a large task needs to be broken into independent, verifiable stories with pass/fail acceptance criteria
SkillDFreshness: D★ 2Claude Code +9 - 0.442score
brainstorming
thesyntaxninja
Use when requirements are unclear, ambiguous, or have multiple valid interpretations — before planning or implementing
SkillDFreshness: D★ 2Claude Code +9 - 0.442score
compound-docs
thesyntaxninja
Use when a hard problem was just solved and the solution should be captured as a learning for future reference
SkillDFreshness: D★ 2Claude Code +9
Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 4, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from thesyntaxninja
- 0.443score
ralph-loop
thesyntaxninja
Use when task scope exceeds one context window and decomposes into independent pass/fail stories with clean iteration boundaries
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
self-review
thesyntaxninja
Use when implementation is complete and verification has passed — dispatches the sensei agent for fresh-context quality review
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
requesting-code-review
thesyntaxninja
Use when implementation is complete and a comprehensive code review is needed — dispatches parallel review agents and merges findings
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
propose-skill-update
thesyntaxninja
Use when 3+ distinct occurrences suggest a skill should be updated with a new trigger, anti-pattern, or verification step
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
receiving-code-review
thesyntaxninja
Use when receiving code review feedback — requires technical verification of each suggestion before implementing, not blind agreement
SkillDFreshness: D★ 2Claude Code +9 - 0.443score
subagent-driven-development
thesyntaxninja
Use when executing an implementation plan with independent tasks that can be delegated to subagents within the current session
SkillDFreshness: D★ 2Claude 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 executing-plans 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
executing-plans skill. Agent Mart. https://agentmart.dev/skills/thesyntaxninja-executing-plans (last updated 2026-10-24)