Agent skill

Agent Prompts

by pikax in pikax/verter

Generate copy-pasteable prompts for driving separate Claude Code sessions through refactor, review, or migration work.

MITAuto-check: warningsDevelopment

Install Agent Prompts

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add pikax/verter --skill agent-prompts -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install pikax/verter agent-prompts --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/pikax/verter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills-backup/pre-rev11-orchestration/agent-prompts .claude/skills/agent-prompts && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-prompts
GitHub stars
113
Token cost
~5k tokens
SKILL.md length
761 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

Generate copy-pasteable prompts for driving separate Claude Code sessions through refactor, review, or migration work.

  • Works in 6 steps: Identify variant from trigger phrase. → Ask for missing required inputs in a… → For continuation: run verification… → …
  • Implementation prompt
  • SKILL.md covers Variants, Required inputs, Generation workflow and Invariants (NEVER strip from…, plus 3 more sections
  • Calls git

What it does

Agent Prompts is an agent skill from pikax/verter. Generate copy-pasteable prompts for driving separate Claude Code sessions through refactor, review, or migration work. Four variants — implementation (start a plan), continuation (resume after 85% handoff), review (harsh audit of landed work), fix-implementer (apply review findings). Also supports a review-workflow mode that emits the reviewer + fix-implementer PAIR as two distinct prompts for two clean sessions. Triggers on "implementation prompt", "continuation prompt", "review prompt", "reviewer prompt", "fix…

Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code review and Refactoring. The repository describes itself as: Fast Rust-powered compiler, semantic extraction, and LSP for component frameworks. The licence is MIT.

When your agent uses it

  • Implementation prompt
  • Continuation prompt
  • Reviewer prompt
  • Fix-implementer prompt

Example prompts

  • “implementation prompt”
  • “continuation prompt”
  • “review prompt”
  • “/agent-prompts”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Identify variant from trigger phrase.
  2. Ask for missing required inputs in a single message.
  3. For continuation: run verification commands and capture output before templating.
  4. Parameterise matching template(s) with inputs + verified state.
  5. Emit prompt(s) INLINE as markdown code blocks with ===== delimiters. Do NOT save to files. Do NOT reference paths.
  6. Brief reporting line after the prompt block(s).

What it can do on your machine

Read from SKILL.md and the folder at commit 8a48e50. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Prompts loads about 5k tokens when it runs. Until then it costs about 234 tokens; SKILL.md has 761 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~234
When it runs · the whole SKILL.md, loaded when a task matches
~5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: warnings

The automated check found patterns that need a careful read before installing.

  • WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:151
    - Do not ask for permission at WIP boundaries. Sequencing is linear.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from pikax/verter at commit 8a48e50, republished under its MIT licence (© pikax). 761 words, ~4,970 tokens.

Download SKILL.mdSave it as .claude/skills/agent-prompts/SKILL.md (or your agent's skills folder).
name
agent-prompts
description
Generate copy-pasteable prompts for driving separate Claude Code sessions through refactor, review, or migration work. Four variants — implementation (start a plan), continuation (resume after 85% handoff), review (harsh audit of landed work), fix-implementer (apply review findings). Also supports a review-workflow mode that emits the reviewer + fix-implementer PAIR as two distinct prompts for two clean sessions. Triggers on "implementation prompt", "continuation prompt", "review prompt", "reviewer prompt", "fix prompt", "fix-implementer prompt", "review workflow", "two prompts for two sessions", "generate the pair", "prompt for the next agent". Inputs: plan file, repo path, starting/target branches, handoff note (continuation), reviewer persona (review/workflow), focus areas. Output: prompts emitted INLINE in the chat as markdown — not saved as files — with clear `=====` delimiters for unambiguous copy-paste.

Agent Prompts

Generate prompts for driving separate Claude Code sessions. Emit prompts INLINE in chat (never save as files) with ===== delimiters for copy-paste into fresh agent sessions. Every generated prompt preserves fixed invariants that close specific observed failure modes.

Variants

VariantEmitsTrigger phrases
Implementation1 prompt"implementation prompt", "start prompt", "driver prompt for <plan>"
Continuation1 prompt"continuation prompt", "resume prompt", "prior agent hit 85%", "handoff prompt"
Review1 prompt"review prompt", "reviewer prompt", "audit prompt"
Fix-implementer1 prompt"fix prompt", "fix-implementer prompt", "apply the review"
Review workflow2 prompts (pair)"review workflow", "two prompts for two sessions", "generate the pair", "review + fix pair", "prompts for two agent sessions"

Review-workflow is the common case for TWO distinct prompts for TWO separate clean sessions.

Required inputs

Ask concise questions if not provided; do not invent values.

All variants:

  • Plan file path (absolute).
  • Repo path (default: cwd).
  • Starting / staging branch.
  • Target / mainline branch (e.g. refactor/<track> or main).

Continuation additionally:

  • Handoff note path OR pasted content.
  • Verify branch state BEFORE generating — run:
    • git log --oneline <target>..HEAD to enumerate actual commits.
    • git status --short to check working tree.
    • File-existence spot checks on paths the handoff claims deleted/kept.
    • If handoff claims diverge from reality, note discrepancies in the continuation prompt.

Review / workflow additionally:

  • Reviewer persona (default: harsh reviewer, in a bad mood, DRY / KISS / long-term-maintainability focused).
  • Author framing for the work under review (default: Codex — keeps critique independent of reviewer's identity).
  • Optional focus areas (security, performance, API design, accessibility).

Fix-implementer additionally:

  • Tell the user the review output must be pasted into the fix session BEFORE the fix prompt.

Generation workflow

  1. Identify variant from trigger phrase.
  2. Ask for missing required inputs in a single message.
  3. For continuation: run verification commands and capture output before templating.
  4. Parameterise matching template(s) with inputs + verified state.
  5. Emit prompt(s) INLINE as markdown code blocks with ===== delimiters. Do NOT save to files. Do NOT reference paths.
  6. Brief reporting line after the prompt block(s).

Invariants (NEVER strip from any generated prompt)

Each closes a specific failure mode. If the user asks to omit any, refuse and state which failure mode it prevents.

  1. Stub Prevention citation. Name the developer global rules file ($HOME/.claude/CLAUDE.md on POSIX, %USERPROFILE%\.claude\CLAUDE.md on Windows) # Stub Prevention (global) and project-level CLAUDE.md ### Stub Prevention (CRITICAL) if present. Restate the five anti-patterns inline:
    • Empty #[test] bodies (or equivalent) un-ignored.
    • Unconditional-default returns masquerading as implementation (Unknown, None, Ok(()), Miss, return null, return true).
    • Always-true assertions (assert!(true), || true predicates, expect(true).toBe(true)).
    • "Real body deferred to follow-up commit" commit messages claiming gate-pass via stub.
    • Characterization tests that don't discriminate.
  2. Three only-stop cases: (1) truly stuck with no plan-section resolution, (2) gate unfixable after multiple fix-commit cycles, (3) 85% context handoff.
  3. 85% context handoff protocol: commit pending, write handoff note with current step / exact next action / unresolved ambiguities / evidence paths, do NOT run the full gate at handoff.
  4. Fixed completion output format: short structured report, no victory-lap prose, no menus.
  5. Forbid scope negotiation: no "I'll do these but not those", no splitting proposals, no "honest scope assessment" dialogues. Work within the plan.
Show full SKILL.md (245 more words)Show less

Output format

Single-prompt variants

Emit in the chat:

Paste the block below into a fresh Claude Code 1M Context session.

===== PROMPT — <VARIANT NAME> =====

<prompt content verbatim, as markdown>

===== END PROMPT =====

<One-sentence note on what this prompt drives.>
Review-workflow pair

Emit in the chat:

Open TWO fresh Claude Code 1M Context sessions.

1. Paste PROMPT 1 into Session A. Wait for its review output.
2. Paste that review output INTO Session B, then paste PROMPT 2 below it.

===== PROMPT 1 — REVIEWER (Session A) =====

<reviewer prompt content verbatim>

===== END PROMPT 1 =====

===== PROMPT 2 — FIX-IMPLEMENTER (Session B) =====

<fix-implementer prompt content verbatim>

===== END PROMPT 2 =====

Workflow: Session A reviews and emits findings → paste findings into Session B → Session B applies them, runs the gate, squashes.

The ===== delimiters make copy-paste boundaries unambiguous. Never concatenate the pair.


Templates

Placeholders (substitute from elicited inputs):

  • {{PLAN_PATH}} — absolute plan file path.
  • {{REPO_PATH}} — repo root (e.g. D:\path\to\project on Windows, /path/to/project on POSIX).
  • {{STAGING_BRANCH}} — e.g. staging/<campaign>.
  • {{TARGET_BRANCH}} — e.g. the campaign's integration branch.
  • {{GLOBAL_RULES}} — the developer global rules file ($HOME/.claude/CLAUDE.md on POSIX, %USERPROFILE%\.claude\CLAUDE.md on Windows).
  • {{PROJECT_RULES}} — <repo>/CLAUDE.md if it exists; else omit the line that cites it.
  • {{GATE_SECTION}} — plan's landing-gate section ref (e.g. §7.5).
  • {{LAST_STEP_SECTION}} — plan's squash step (e.g. §5.13).
  • {{AUTHOR_FRAME}} — who "implemented" it (for review persona). Default: Codex.
  • {{REVIEWER_PERSONA}} — default: harsh reviewer, in a bad mood, DRY/KISS religious, long-term-maintainability focused.
  • {{FOCUS_AREAS}} — optional extras for the reviewer.
  • {{HANDOFF_SUMMARY}} — for continuation: verified landed commits + gotchas.
Implementation template
You are executing the refactor plan at `{{PLAN_PATH}}`. Read it in full before starting. Every section is load-bearing.

Repo: `{{REPO_PATH}}`
Starting branch: `{{STAGING_BRANCH}}`
Target branch: `{{TARGET_BRANCH}}`

Execute the plan's sequencing steps in order. Pass the landing gate at `{{GATE_SECTION}}`. Squash-merge to `{{TARGET_BRANCH}}` at `{{LAST_STEP_SECTION}}`. Completion = gate passes zero-exit on every check AND the squash commit is on `{{TARGET_BRANCH}}`.

## Execution discipline

- Do not stop until the gate passes and the squash is complete.
- Do not ask for permission at WIP boundaries. Sequencing is linear.
- Do not complain the plan is too big. Do not propose splitting across sessions. You have 1M context.
- Do not invent scope. The plan's architectural decisions and change list are the contract; the out-of-scope section is the hard boundary.

## Rules — read these before starting

Global rules: `{{GLOBAL_RULES}}` — includes `# Stub Prevention`.
Project rules: `{{PROJECT_RULES}}` — includes `### Stub Prevention (CRITICAL)` under Agent Implementation Rules.

**Stub Prevention applies to every landed commit and to the squash.** The five forbidden patterns:

1. Empty `#[test]` bodies un-ignored — pass trivially while falsely advertising coverage. Keep `#[ignore]` until you can write a discriminating body.
2. Unconditional-default function bodies advertised as implementation (`RelationResult::Unknown`, `None`, `Ok(())`, `Opaque(Miss)`, `return null`, `return true`). Use `todo!()` / `unimplemented!()` / `throw new Error("not implemented")` so callers panic loudly.
3. Always-true assertions (`assert!(true)`, `|| true`, `expect(true).toBe(true)`).
4. Commit messages claiming gate-pass via stub ("real body deferred to follow-up").
5. Characterization tests that don't discriminate (pass regardless of code under test).

WIP exemption: staging-branch commits may contain `todo!()` / stubs / empty tests. The rule bites at squash / mainline / landed state.

## Only-stop cases

Stop ONLY for:

1. Truly stuck — no plan-section resolution works after multi-attempt evidence. Record in `.feedback/feedback-<YYYY-MM-DD>-<track>.md` and report.
2. Gate unfixable by additional WIP commits after multiple fix-commit cycles. Record evidence.
3. Context crosses 85%. Hand off per protocol below. Not before 85%. Not after 85%.

Token cost of long cargo / test runs is NOT a stop case. "Plan is big" is NOT a stop case.

## 85% context handoff protocol

1. Commit pending work with `wip(session): <track> handoff at <step> — <summary>`.
2. Write `.feedback/feedback-<YYYY-MM-DD>-<track>-handoff.md` with current step, exact next action (file:line), unresolved ambiguities, evidence paths.
3. Do NOT run `{{GATE_SECTION}}` at handoff — it burns remaining context.
4. Return with one short status line.

## Completion criteria

Done when ALL hold:

- `{{GATE_SECTION}}` landing gate passes zero-exit on every check.
- `{{STAGING_BRANCH}}` has been squash-merged onto `{{TARGET_BRANCH}}` per `{{LAST_STEP_SECTION}}`.
- Squash commit message enumerates every deleted file / API / renamed identifier / new variant / retired surrogate per plan's checklist.

Output EXACTLY:

<track> complete.
- Squash commit: <sha> on {{TARGET_BRANCH}}.
- Gate passed.
- Feedback: <path>.

Nothing more.

Proceed. Start at the plan's first sequencing step. Do not ask for confirmation.
Continuation template
You are resuming `{{PLAN_PATH}}` after a prior agent hit 85% context.

Repo: `{{REPO_PATH}}`
Current branch: `{{STAGING_BRANCH}}`
Target: `{{TARGET_BRANCH}}`

## BEFORE ANYTHING — rule refresh

Read both files now:

- Global rules: `{{GLOBAL_RULES}}` (includes `# Stub Prevention`).
- Project rules: `{{PROJECT_RULES}}` (includes `### Stub Prevention (CRITICAL)` if present).

The prior agent may have tripped on Stub Prevention. The five forbidden patterns on landed commits:

1. Empty `#[test]` bodies un-ignored.
2. Unconditional-default function bodies advertised as implementation.
3. Always-true assertions.
4. "Deferred to follow-up commit" messages claiming gate-pass via stub.
5. Characterization tests that don't discriminate.

WIP exemption applies to `{{STAGING_BRANCH}}`. The rule bites at squash on `{{TARGET_BRANCH}}`.

## Verified repo state

{{HANDOFF_SUMMARY}}

(Includes: HEAD sha, git status, landed commits, file-existence checks, and any handoff-vs-actual discrepancies flagged inline.)

## Your task

Continue the plan's sequencing from the next unlanded step. Pass `{{GATE_SECTION}}`. Squash at `{{LAST_STEP_SECTION}}`.

[Plan-section-specific remaining work — elicit from handoff note.]

## Execution discipline

- Do not stop until the gate passes and the squash is complete.
- Do not ask permission at WIP boundaries.
- Do not complain about scope. Do not propose splits.
- Do not invent scope.

## Only-stop cases

1. Truly stuck with no plan-section resolution.
2. Gate unfixable after multiple fix-commit cycles.
3. Context crosses 85% — handoff per below.

## 85% handoff protocol

1. Commit pending with `wip(session): <track> handoff at <step> — <summary>`.
2. Write `.feedback/feedback-<YYYY-MM-DD>-<track>-handoff.md`.
3. Do NOT run `{{GATE_SECTION}}` at handoff.
4. Return with one short status line.

## Completion criteria

Done when ALL hold:

- `{{GATE_SECTION}}` passes zero-exit.
- `{{STAGING_BRANCH}}` squash-merged onto `{{TARGET_BRANCH}}`.
- Squash message enumerates retired items per plan checklist.

Output EXACTLY:

<track> complete.
- Squash commit: <sha> on {{TARGET_BRANCH}}.
- Gate passed.
- Feedback: <path>.

Proceed. Start with the first remaining step. Do not ask for confirmation.
Reviewer template
You are reviewing the implementation that `{{AUTHOR_FRAME}}` produced on `{{STAGING_BRANCH}}`. You are a {{REVIEWER_PERSONA}}. You trust no commit message. You verify every claim against the tree.

## Your scope

- Plan (contract `{{AUTHOR_FRAME}}` was meant to honor): `{{PLAN_PATH}}`.
- Repo: `{{REPO_PATH}}`, branch `{{STAGING_BRANCH}}`.
- Rules: `{{GLOBAL_RULES}}` + `{{PROJECT_RULES}}`.

## What to review

Every WIP commit on `{{STAGING_BRANCH}}` that didn't exist before plan execution began. `git log --oneline {{TARGET_BRANCH}}..HEAD`. Also uncommitted changes.

For each commit and the current tree, check:

1. **Stub Prevention compliance.** Hunt all five anti-patterns:
   - Empty `#[test]` bodies. Scan `fn <name>() {}`.
   - Unconditional-default returns advertised as implementation. Compare commit-message claims against actual body.
   - Always-true assertions.
   - "Deferred to follow-up" in commit messages.
   - Characterization tests that pass regardless of the code under test. For each un-ignored test: would it FAIL pre-change AND PASS post-change?

2. **DRY.** Hunt copy-paste, duplicated helpers, repeated constants, fixtures with drift. Propose single canonical form.

3. **KISS.** Type aliases without semantic payload, traits with one implementor, abstractions for hypothetical futures, cosmetic module splits, delegating methods.

4. **Long-term maintainability.** Names that lie. Comments that will rot (rev-N, session numbers, commit hashes). Magic numbers without justification. Swallowed errors. Dead code + `#[allow(dead_code)]` optimism bets.

5. **Plan compliance.** Every commit should map to a numbered plan step. Any generator or lint-script modifications must produce identical output to the plan's version.

6. **Commit-message honesty.** Flag messages claiming gate-pass via stub, deferring load-bearing work, or citing plan sections they don't satisfy.

7. **Characterization-test quality.** For each un-ignored test: file:line, body quote, judgement (discriminating / cosmetic / incorrect).

{{FOCUS_AREAS}}

## How to investigate

Do not trust commit messages alone. For every claim, read the diff.

- `git log --oneline {{TARGET_BRANCH}}..HEAD` and `git show <sha>` on each.
- `git status` / `git diff` for uncommitted.
- Open each touched file.
- `cargo check --package <crate> --tests` to confirm compilation claims.
- `rg -n 'todo!\(\)|unimplemented!\(\)|assert!\(true\)|\|\| true'` to find stubs mechanically.

## Output format

Produce a single markdown response:

# <Track> Implementation Review (<staging-branch> @ <HEAD sha>)

Verdict: REVISE / APPROVE WITH EDITS / APPROVE

## Summary

<3-5 sentences.>

## Findings

### [F1 — CRITICAL / MAJOR / MODERATE / MINOR] <Short title>

**Location:** `path/file.rs:LINE` (or commit <sha>)

**What's wrong:** <quote offending code>

**Why it's wrong:** <cite rule — stub prevention, DRY, KISS, plan §X>

**Fix:** <specific remediation>

[... severity-ordered ...]

## Stub audit table

| Test/function | File:line | Body has assertions? | Discriminating? | Verdict |

## DRY audit, KISS audit, Long-term-maintenance hazards

<lists>

## Plan-compliance delta

| Plan step | Claimed complete by commit | Actually complete? | Gap |

## Concrete plan of action for the fix-implementer

<numbered list, fix order, each citing a finding>

## Verdict

REVISE. <one-sentence reason.>

## Rules for your review

- Cite file:line for every finding.
- Do not propose rewrites deviating from the plan's architectural decisions.
- "It's WIP, will be polished" is NOT a defence — deferred-polish on landed commits is Stub Prevention violation.
- Quote offending code.
- One verdict top AND bottom, same verdict.

Start. When the review document is complete, output it and stop.
Fix-implementer template
You are applying the review findings from the prior agent. The review output is pasted into this conversation BEFORE this prompt. Treat it as authoritative.

## Scope

- Plan: `{{PLAN_PATH}}`.
- Repo: `{{REPO_PATH}}`, branch `{{STAGING_BRANCH}}`.
- Rules: `{{GLOBAL_RULES}}` + `{{PROJECT_RULES}}`.

## Discipline

- Apply every finding in the review's "Concrete plan of action", in the order given.
- Do NOT negotiate, summarise, or produce menus.
- Do NOT ask permission between fixes.
- Do NOT introduce new stubs while fixing existing ones. Re-read Stub Prevention in `{{GLOBAL_RULES}}` and `{{PROJECT_RULES}}`.
- Push back only with concrete evidence — write a rebuttal with file:line in `.feedback/feedback-<YYYY-MM-DD>-<track>.md` and skip that finding. Do not skip findings you merely dislike.
- Do NOT rewrite scaffolding commits via `--amend` or `rebase -i`. Additive fix commits only.

## Only-stop cases

1. Truly stuck on a finding the plan cannot resolve.
2. Cascading failures that cannot be addressed without re-planning.
3. Context crosses 85% — handoff per below.

## Working order

1. Re-read the review in full before touching code.
2. Group findings by file.
3. Stub Prevention findings first.
4. DRY / KISS findings next.
5. Plan-compliance findings next.
6. Long-term-maintenance findings last.
7. After each fix commit: `cargo check --package <crate> --tests` minimum. Do NOT run full workspace after every commit.
8. Once all closed: run plan's mutating-tools step, then gate `{{GATE_SECTION}}`. Squash per `{{LAST_STEP_SECTION}}` on pass.

## Commit message shape

Each fix commit:

wip(session): <track> review-fix — close <F-IDs> (<short summary>)

Review finding(s) closed:
- Fx — <title>
- Fy — <title>

Behaviour change: <what the tree does now that it didn't before>

Verification: <what you ran, what passed>

No "scaffolding", "will be fleshed out", "deferred to follow-up".

## 85% handoff

Per Implementation template.

## Completion criteria

Done when ALL hold:

- Every finding closed (fixed or explicitly rebutted in feedback with evidence).
- Plan's mutating-tools step runs clean.
- `{{GATE_SECTION}}` passes zero-exit.
- `{{STAGING_BRANCH}}` squash-merged per `{{LAST_STEP_SECTION}}`.

Output EXACTLY:

<track> fix pass complete.
- Findings closed: N of N.
- Fix commits: <sha list>.
- Squash commit: <sha> on {{TARGET_BRANCH}}.
- Gate passed.

Start. Apply the first finding now. Do not ask for confirmation.

Operational notes

  • Never save generated prompts to files. Emit inline as markdown code blocks with ===== delimiters.
  • When generating the review-workflow pair, emit both prompts in the same response with clearly-separated ===== PROMPT 1 ===== / ===== PROMPT 2 ===== blocks. Never concatenate.
  • Substitute every {{PLACEHOLDER}} from user input + verification. Don't leave placeholders in output.
  • If the project lacks a CLAUDE.md Stub Prevention section, inline the rule body in the generated prompt anyway.
  • If user requests a custom persona or focus area, add it to the reviewer template without removing DRY / KISS / long-term-maintenance / Stub Prevention lines. Those stay.
  • If user requests omission of any invariant in §Invariants, refuse with one sentence naming the failure mode the invariant prevents.

© pikax, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills-backup/pre-rev11-orchestration/agent-prompts of pikax/verter.

Open the folder on GitHubat commit 8a48e50

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  • Build dependency chains, rebuild sequences, profiling with MCP, and Analysis MCP server setup for Verter

    113 GitHub stars~4.3k tokensUpdated today
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  • Compiler Codegen

    pikax/verter

    Rust compiler pipeline, template codegen (VDOM/IDE), CodeTransform, cached directives, strict slots, IDE error recovery, style preprocessing, CompileTarget, compiler authority/policy/demand/admission

    113 GitHub stars~23k tokensUpdated today
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  • CTO/manager-of-managers methodology for autonomous multi-train plans where the user says "you are the MoM/CTO", "orchestrate the whole plan", "drive the migration end-to-end", "manager-of-managers"…

    113 GitHub stars~3.5k tokensUpdated today
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  • Rust Performance

    pikax/verter

    Rust performance optimization patterns: batch operations, allocation hierarchy, object pooling, CodeTransform API for vertercompiler

    113 GitHub stars~2.8k tokensUpdated today
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  • Signature Kernel

    pikax/verter

    Verter semantic signature kernel — signature records/descriptors, epoch-safe interned storage and retirement, request-pinned borrowed reads, positional matching, call substitution, ordered…

    113 GitHub stars~5k tokensUpdated today
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Categories

Questions about Agent Prompts

What does Agent Prompts do?

Generate copy-pasteable prompts for driving separate Claude Code sessions through refactor, review, or migration work. Agent Prompts is an agent skill from pikax/verter. Generate copy-pasteable prompts for driving separate Claude Code sessions through refactor, review, or migration work.

When should I use Agent Prompts?

Agent Prompts fits situations like: implementation prompt; continuation prompt; reviewer prompt; fix-implementer prompt.

How do I install Agent Prompts in Claude Code?

Run `npx skills add pikax/verter --skill agent-prompts -a claude-code`. Or copy the skill folder (.claude/skills-backup/pre-rev11-orchestration/agent-prompts in pikax/verter) into .claude/skills/agent-prompts in your project. Claude Code loads it when a task matches its description.

How do I install Agent Prompts in Codex?

Run `npx skills add pikax/verter --skill agent-prompts -a codex`. Or copy the skill folder (.claude/skills-backup/pre-rev11-orchestration/agent-prompts in pikax/verter) into .agents/skills/agent-prompts in your project. Codex loads it when a task matches its description.

Can I use Agent Prompts in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pikax/verter --skill agent-prompts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-prompts, .gemini/skills/agent-prompts, .github/skills/agent-prompts and .opencode/skills/agent-prompts in your project.

What does Agent Prompts need to run?

Going by SKILL.md and its folder, Agent Prompts needs the command-line tools its instructions call (git).

Does Agent Prompts access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Agent Prompts safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.

What licence does Agent Prompts use?

Agent Prompts is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Prompts use?

About 5k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Prompts?

Skills that share tags, products or a category with Agent Prompts: Dignified Python Standards (docling-project/docling, 69k stars), Clean Code Guard (amElnagdy/guard-skills, 1.3k stars), Maintainable Code for iPolloWork (Devin-AXIS/iPolloWork, 6.8k stars) and Over-Engineering Review (DietrichGebert/ponytail, 160k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Prompts?

pikax (a GitHub user) maintains it in pikax/verter, which has 113 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 10, 2026.

Source: pikax/verter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.