agentic-coding
Skill1 starsChanged 12 days agoMITView on GitHub
Ship production code with AI agents through acceptance contracts, micro diffs, red green loops, and deterministic handoff checkpoints.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- angelgabrieljacintohuayllasco/clipboard-skillstheir own version, first seen Sep 20, 2026
- AntheaLaffy/missing-semester-skills-dshtheir own version, first seen Aug 16, 2026
- AntheaLaffy/the-missing-semester-skillstheir own version, first seen Aug 16, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- AntheaLaffy/the-missing-semester-skills★ 1same name
- angelgabrieljacintohuayllasco/clipboard-skills★ 0same name
- AntheaLaffy/missing-semester-skills-dsh★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
12 rules. About 0 are common, 11 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈11
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
If ~/agentic-coding/ does not exist or is empty, read setup.md, ask a concise kickoff question, and keep any persistence explicitly opt-in.
- Distinctive: line 54
Start every task with a compact contract:
- Distinctive: line 60
No contract, no code.
- Distinctive: line 63
Use the same execution loop every time:
- Distinctive: line 74
Prefer file-local edits over broad rewrites
- Distinctive: line 76
Avoid hidden side effects outside declared scope
- Distinctive: line 78
If scope grows, split into a second contract.
- Distinctive: line 86
Never claim fixed without before and after evidence.
- Distinctive: line 95
If handoff is unclear, the task is not finished.
- Distinctive: line 98
When blocked after two failed attempts:
- Distinctive: line 104
Do not keep guessing in loops.
- Distinctive: line 125
Write to global or platform memory stores
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
迁移说明:本技能原为 OpenClaw / ClawHub 生态技能,现已转为 WorkBuddy 技能规范。正文如出现
openclaw/clawhub/claw命令或~/.openclaw路径,请忽略该命令形式,改用 WorkBuddy 等价操作:技能目录 =~/.workbuddy/skills/<name>/;装包用 pip / npm;联网用 WebSearch / WebFetch;读写文件用 Read / Write / Edit;执行命令用 Bash(Windows 走 PowerShell 工具)。
运行依赖:需要本机已安装命令
git;缺失时先安装 / 配置,再执行正文步骤。
agentic-coding
Setup
If ~/agentic-coding/ does not exist or is empty, read setup.md, ask a concise kickoff question, and keep any persistence explicitly opt-in.
Positioning
This skill is intentionally different from agentic-engineering and vibe-coding:
agentic-engineeringfocuses on multi-agent operating patterns and team throughput.vibe-codingfocuses on prompt-led exploration and fast idea shipping.agentic-codingfocuses on contract-first implementation, proof of fix, and reviewer-ready handoff.
When to Use
User needs merge-ready code from an AI agent with explicit quality gates. Use for production features, risky refactors, bug fixes with reproducible failures, and Xcode-centered work such as Swift feature delivery, iOS/macOS regressions, and release-branch hotfixes.
Architecture
Memory lives in ~/agentic-coding/. See memory-template.md for setup.
~/agentic-coding/
|- memory.md # Persistent preferences and operating mode
|- contracts.md # Accepted task contracts and non-goals
|- evidence.md # Test evidence and verification snapshots
`- handoffs.md # Delivery notes and rollback hintsQuick Reference
Load these files on demand to keep context focused and execution fast.
| Topic | File |
| Setup process | setup.md |
| Memory template | memory-template.md |
| PACT loop | protocol.md |
| Contract prompts | prompt-contracts.md |
| Merge handoff checklist | handoff.md |
Core Rules
1. Lock a Contract Before Writing Code
Start every task with a compact contract:
- Objective: exact outcome in one sentence
- Acceptance: checks that prove success
- Non-goals: what must stay untouched
- Constraints: stack, style, limits, deadlines
No contract, no code.
2. Run the PACT Loop
Use the same execution loop every time:
- Problem framing: restate objective and assumptions
- Acceptance design: define checks before edits
- Change set: produce the smallest useful diff
- Trace and test: show evidence and residual risk
This skill is execution discipline, not brainstorming. For Xcode workflows, tie acceptance to a concrete target, simulator/device, and test command before editing.
3. Keep Diffs Surgical
One user objective maps to one focused change set:
- Prefer file-local edits over broad rewrites
- Separate behavior change from style cleanup
- Avoid hidden side effects outside declared scope
If scope grows, split into a second contract.
4. Prove Failure Then Prove Fix
For bugs and regressions:
- Capture the failing condition first (test, log, or reproduction)
- Apply minimal fix
- Re-run the same check to prove resolution
Never claim fixed without before and after evidence.
5. Deliver Handoff-Grade Output
End each cycle with a delivery packet:
- What changed and why
- Files touched and blast radius
- Validation run and results
- Known risks and rollback path
If handoff is unclear, the task is not finished.
6. Escalate With a Structured Fallback
When blocked after two failed attempts:
- Stop editing
- State what was tried
- Propose two grounded alternatives
- Request a decision with tradeoffs
Do not keep guessing in loops.
Common Traps
- Starting implementation without acceptance checks -> endless iteration and unclear done state.
- Asking the agent for full rewrites -> noisy diffs and avoidable regressions.
- Mixing feature work with architecture overhaul -> weak reviewability and hard rollback.
- Reporting success without reproducible evidence -> false confidence in production.
- Treating AI output as final draft -> quality debt moved to code review.
Security & Privacy
Data that leaves your machine:
- None from this skill itself
Data that stays local:
- Contracts, evidence notes, and handoff summaries in
~/agentic-coding/
This skill does NOT:
- Trigger undeclared network requests
- Access files outside its own memory path
- Write to global or platform memory stores
- Auto-approve risky code without explicit evidence
Scope
This skill ONLY:
- Improves execution quality of AI-assisted coding
- Enforces contract driven implementation and verification
- Produces clear handoff packets for reviewers
This skill NEVER:
- Replaces security review for high risk domains
- Encourages blind trust in generated code
- Overrides project specific contribution rules
Related Skills
Install with clawhub install <slug> if user confirms:
agentic-engineering- Multi-agent collaboration and operating patterns.coding- General coding support across stacks and tasks.code- Broad code authoring and editing assistance.copilot- Companion style IDE assistance patterns.delegate- Structured task delegation to autonomous agents.
Feedback
- If useful:
clawhub star agentic-coding - Stay updated:
clawhub sync
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

