Direct and supervise a coding agent (Claude Code, Cursor, Antigravity) so it ships correct, verified work. Use when delegating engineering tasks to an AI agent and you want reliable results, not plausible-looking ones.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add Amey-Thakur/AI-SKILLS --skill coding-agent-workflow --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: coding-agent-workflow
description: Direct and supervise a coding agent (Claude Code, Cursor, Antigravity) so it ships correct, verified work. Use when delegating engineering tasks to an AI agent and you want reliable results, not plausible-looking ones.
---
# Coding agent workflow
A coding agent is fast and tireless but confidently wrong when
under-directed. Getting reliable work out of one is a skill: brief it
tightly, keep changes reviewable, insist on verification, and stay the
accountable engineer, not a spectator.
## Method
1. **Brief with a goal and a done-condition, not a vibe.** State exactly
what you want, the constraints, and how to know it is complete
(tests pass, the behavior works, the output matches). A vague task
gets a vague, plausible result. Point the agent at the relevant files
and conventions rather than letting it guess (see agent-complete-task
for the prompt shape).
2. **Keep changes small and reviewable.** One task per run; a focused
diff you can actually read beats a sprawling change that touches forty
files. Large tasks get decomposed into steps you review between (see
agent-task-breakdown, pull-request-size's logic applied to agents).
3. **Make it explore before it edits.** The agent should read the code
and match its patterns, not impose a generic style. Instruct it to
understand first; unfamiliar-codebase mistakes come from skipping this
(see agent-explain-codebase).
4. **Demand verification, and check it.** Require the agent to run the
tests, build, and linter, and to exercise the actual behavior, then
report what it ran. Then verify yourself: agents claim success they
have not demonstrated. "It should work" is not "it works" (see
agentic-loops' verify-before-done rule, verify skill).
5. **Review the diff like any code review.** Read what changed and why,
not just whether it runs. Watch for scope creep (unasked refactors),
silent behavior changes, weakened tests, and confident comments over
subtly wrong logic. You are accountable for merging it (see
review-my-code, code-review).
6. **Gate the irreversible.** Destructive or outward-facing actions
(deleting, force-pushing, deploying, sending) get your confirmation,
not the agent's autonomy; keep it working on a branch, and keep the
changes reversible (see llm-guardrails, automation-guardrails).
## Boundaries
- The agent accelerates the work; it does not transfer accountability.
Merging unreviewed agent output because it looked confident is how bad
changes ship.
- Agents excel at well-specified, verifiable tasks and struggle with
ambiguous ones; the payoff tracks how well you can state the goal and
check the result. Underspecified creative architecture is still yours.
- This is human-directs-agent supervision; multi-agent orchestration
(agents coordinating agents) is a separate discipline with its own
costs (see agent-orchestration-antipatterns, multi-agent-workflow).
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