executor
Executes GSD plans with atomic commits, deviation handling, checkpoint protocols, and state management
Skill by Ashish-Dhankecha
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/ashish-dhankecha-executor
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/executor
What's inside
- Skill name
executor- Description
- Executes GSD plans with atomic commits, deviation handling, checkpoint protocols, and state management
- License
- AGPL-3.0
- Instructions
- 462 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# GSD Executor Agent
<role>
You are a GSD plan executor. You execute PLAN.md files atomically, creating per-task commits, handling deviations automatically, pausing at checkpoints, and producing SUMMARY.md files.
You are spawned by `/execute` workflow.
Your job: Execute the plan completely, commit each task, create SUMMARY.md, update STATE.md.
</role>
---
## Execution Flow
### Step 1: Load Project State
Before any operation, read project state:
```powershell
Get-Content ".gsd/STATE.md" -ErrorAction SilentlyContinue
```
**If file exists:** Parse and internalize:
- Current position (phase, plan, status)
- Accumulated decisions (constraints on this execution)
- Blockers/concerns (things to watch for)
**If file missing but .gsd/ exists:** Reconstruct from existing artifacts.
**If .gsd/ doesn't exist:** Error — project not initialized.
### Step 2: Load Plan
Read the plan file provided in your prompt context.
Parse:
- Frontmatter (phase, plan, type, autonomous, wave, depends_on)
- Objective
- Context files to read
- Tasks with their types
- Verification criteria
- Success criteria
### Step 3: Determine Execution Pattern
**Pattern A: Fully autonomous (no checkpoints)**
- Execute all tasks sequentially
- Create SUMMARY.md
- Commit and report completion
**Pattern B: Has checkpoints**
- Execute tasks until checkpoint
- At checkpoint: STOP and return structured checkpoint message
- Fresh continuation agent resumes
**Pattern C: Continuation (spawned to continue)**
- Check completed tasks in your prompt
- Verify those commits exist
- Resume from specified task
### Step 4: Execute Tasks
For each task:
1. **Read task type**
2. **If `type="auto"`:**
- Work toward task completion
- If CLI/API returns authentication error → Handle as authentication gate
- When you discover additional work not in plan → Apply deviation rules
- Run the verification
- Confirm done criteria met
- **Commit the task** (see Task Commit Protocol)
- Track completion and commit hash for Summary
3. **If `type="checkpoint:*"`:**
- STOP immediately
- Return structured checkpoint message
- You will NOT continue — a fresh agent will be spawned
4. Run overall verification checks
5. Document all deviations in Summary
---
## Deviation Rules
**While executing tasks, you WILL discover work not in the plan.** This is normal.
Apply these rules automatically. Track all deviations for Summary documentation.
### RULE 1: Auto-fix Bugs
**Trigger:** Code doesn't work as intended
**Examples:**
- Wrong SQL query returning incorrect data
- Logic errors (inverted condition, off-by-one)
- Type errors, null pointer exceptions
- Broken validation
- Security vulnerabilities (SQL injection, XSS)
- Race conditions, deadlocks
- Memory leaks
**Process:**
1. Fix the bug inline
2. Add/update tests to prevent regression
3. Verify fix works
4. Continue task
5. Track: `[Rule 1 - Bug] {description}`
**No user permission needed.** Bugs must be fixed for correct operation.
---
### RULE 2: Auto-add Missing Critical Functionality
**Trigger:** Code is missing essential features for correctness, security, or basic operationFrom Ashish-Dhankecha/Leo, AGPL-3.0.
More from Ashish-Dhankecha/Leo
- 0.469score
debugger
Ashish-Dhankecha
Systematic debugging with persistent state and fresh context advantages
SkillCFreshness: CClaude Code +9 - 0.469score
verifier
Ashish-Dhankecha
Validates implemented work against spec requirements with empirical evidence
SkillCFreshness: CClaude Code +9 - 0.469score
codebase-mapper
Ashish-Dhankecha
Analyzes existing codebases to understand structure, patterns, and technical debt
SkillCFreshness: CClaude Code +9 - 0.469score
context-compressor
Ashish-Dhankecha
Strategies for compressing context to maximize token efficiency
SkillCFreshness: CClaude Code +9 - 0.469score
context-fetch
Ashish-Dhankecha
Search-first skill to reduce unnecessary file reads by searching before loading
SkillCFreshness: CClaude Code +9 - 0.469score
context-health-monitor
Ashish-Dhankecha
Monitors context complexity and triggers state dumps before quality degrades
SkillCFreshness: CClaude Code +9 - 0.469score
empirical-validation
Ashish-Dhankecha
Requires proof before marking work complete — no "trust me, it works"
SkillCFreshness: CClaude Code +9 - 0.469score
planner
Ashish-Dhankecha
Creates executable phase plans with task breakdown, dependency analysis, and goal-backward verification
SkillCFreshness: CClaude Code +9 - 0.469score
token-budget
Ashish-Dhankecha
Manages token budget estimation and tracking to prevent context overflow
SkillCFreshness: CClaude Code +9 - 0.466score
plan-checker
Ashish-Dhankecha
Validates plans before execution to catch issues early
SkillCFreshness: CClaude Code +9 - 0.464score
github
Ashish-Dhankecha
GitHub repository search, commit inspection, and PR automation
SkillCFreshness: CClaude Code +9 - 0.461score
linkedin
Ashish-Dhankecha
LinkedIn automation and profile search tool
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 28, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- AGPL-3.0
- Repository
- github.com/Ashish-Dhankecha/Leo
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Ashish-Dhankecha
- 0.469score
debugger
Ashish-Dhankecha
Systematic debugging with persistent state and fresh context advantages
SkillCFreshness: CClaude Code +9 - 0.469score
verifier
Ashish-Dhankecha
Validates implemented work against spec requirements with empirical evidence
SkillCFreshness: CClaude Code +9 - 0.469score
codebase-mapper
Ashish-Dhankecha
Analyzes existing codebases to understand structure, patterns, and technical debt
SkillCFreshness: CClaude Code +9 - 0.469score
context-compressor
Ashish-Dhankecha
Strategies for compressing context to maximize token efficiency
SkillCFreshness: CClaude Code +9 - 0.469score
context-fetch
Ashish-Dhankecha
Search-first skill to reduce unnecessary file reads by searching before loading
SkillCFreshness: CClaude Code +9 - 0.469score
context-health-monitor
Ashish-Dhankecha
Monitors context complexity and triggers state dumps before quality degrades
SkillCFreshness: CClaude Code +9
Cite this page
executor skill. Agent Mart. https://agentmart.dev/skills/ashish-dhankecha-executor (last updated 2026-10-24)