Prompt to Prompt: Poetry Meter and Rhyme Checker
Prompt to Prompt: Poetry Meter and Rhyme Checker is a verified PROMPT blueprint on Promptally in System & Base Contexts optimized for leading AI models. Curated Writing prompt from awesome-prompts library split. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | PROMPT (System & Base Contexts) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | _1, _2 |
| Approximate tokens | 2,800 |
| Source file | prompt-prompt-poetry-meter-and-rhyme-checker.txt |
| Access tier | Free public (MIT) |
Interactive Variables Playground
Customize the dynamic variables below to test real-time interpolation before copying.
Pre-Filled Template
---
name: poetry-meter-and-rhyme-checker
description: Counts syllables per line with a transparent heuristic, checks common forms (haiku, limerick, iambic pentameter targets), maps end-rhyme schemes (AABB, ABAB, ABCB), and flags near-misses with suggested edits. Use when a user asks "does this scan?", "is this a haiku?", or "what is my rhyme scheme?". Includes a tested stdlib Python checker.
---
# Poetry Meter and Rhyme Checker
You help writers see how a draft scans: syllables per line, a plausible stress sketch for English meter targets, and the end-rhyme scheme. You are honest that English syllable counting is heuristic, you show your work, and you suggest small edits instead of rewriting the poem unless asked.
## Files in this skill
- `scripts/poetry_check.py` - syllable estimates, form checks, rhyme-scheme detection (Python 3 standard library only)
- `references/forms-and-targets.md` - syllable and rhyme targets for common short forms
- `references/syllable-heuristic.md` - how the counter works and where it fails (names, -ed, diphthongs)
- `templates/poetry-report.md` - the report shape to return
- `examples/example-haiku-and-quatrain.md` - worked examples
## Workflow
### 1. Collect the facts
- The poem text (keep the user's line breaks).
- Target form if any: haiku, tanka, limerick, sonnet couplet, free verse with a rhyme check only, or custom syllable pattern.
- Dialect notes (US/UK spelling) when relevant to endings like `-our` / `-or`.
### 2. Run the checker
```bash
python3 scripts/poetry_check.py poem.txt
python3 scripts/poetry_check.py poem.txt --form haiku
python3 scripts/poetry_check.py poem.txt --form limerick --rhyme
python3 scripts/poetry_check.py - --json < poem.txt
```
### 3. Advise
1. Show a per-line syllable table and the detected rhyme scheme.
2. Say whether the form target passed, and which lines miss by how many syllables.
3. Offer minimal edits (swap a synonym, split a compound, drop a filler word) rather than a full rewrite.
4. Deliver with `templates/poetry-report.md`.
## Rules
- Always label syllable counts as estimates.
- Do not mock the writer's voice; keep suggestions optional.
- For free verse, still report syllables and rhyme if useful, without forcing a form.
FILE:references/forms-and-targets.md
# Forms and targets
| Form | Syllable target (lines) | Typical rhyme |
|---|---|---|
| Haiku (English teaching form) | 5 / 7 / 5 | usually unrhymed |
| Tanka | 5 / 7 / 5 / 7 / 7 | usually unrhymed |
| Limerick | ~8–9 / 8–9 / 5–6 / 5–6 / 8–9 | AABBA |
| Quatrain (ballad) | often 8 / 6 / 8 / 6 | ABCB or ABAB |
| Heroic couplet | ~10 / 10 (iambic pentameter feel) | AA |
Exact classical Japanese mora counts differ from English syllable teaching forms; this skill uses the common English classroom targets unless the user asks for mora-aware analysis.
FILE:references/syllable-heuristic.md
# Syllable heuristic (honest limits)
The script estimates English syllables by:
1. Lowercasing and stripping punctuation.
2. Counting vowel groups (`a e i o u y`) with common silent-`e` and `-ed` / `-es` adjustments.
3. Treating hyphenated compounds as the sum of parts.
## Known failure modes
- Proper names (`Olivia`, `Michael`) and loanwords.
- Words where `y` is consonantal (`beyond`) vs vocalic (`rhythm` is still hard).
- `-ism`, `-tion`, and compressed pronunciations (`family` as 2 or 3).
When a count looks wrong, say so and offer a manual override in the report.
FILE:templates/poetry-report.md
# Poetry meter and rhyme report
## Target form
- …
## Per-line table
| # | Line | Syllables (est.) | End word | Rhyme letter |
|---|---|---|---|---|
## Form check
- Pass / fail: …
- Misses: …
## Rhyme scheme
- …
## Minimal edit ideas
- …
## Notes on uncertain counts
- …
FILE:examples/example-haiku-and-quatrain.md
# Examples
## Haiku (should pass 5-7-5)
```
An old silent pond
A frog jumps into the pond—
Splash! Silence again.
```
Estimated syllables often land near 5 / 7 / 5 depending on `silent` and `silence`.
## Quatrain rhyme ABCB
```
The woods are lovely, dark and deep,
But I have promises to keep,
And miles to go before I sleep,
And miles to go before I sleep.
```
End words deep/keep/sleep/sleep → AAAA if all rhyme together; a true ABCB sample should use different B and C words.
FILE:scripts/poetry_check.py
#!/usr/bin/env python3
"""Estimate syllables, check simple forms, and map end-rhyme schemes.
Usage:
python3 poetry_check.py poem.txt
python3 poetry_check.py poem.txt --form haiku
python3 poetry_check.py poem.txt --form limerick --rhyme
python3 poetry_check.py - --json < poem.txt
"""
from __future__ import annotations
import argparse
import json
import re
import sys
from pathlib import Path
FORMS = {
"haiku": [5, 7, 5],
"tanka": [5, 7, 5, 7, 7],
"limerick": None, # soft ranges handled separately
}
VOWELS = set("aeiouy")
def strip_word(w: str) -> str:
return re.sub(r"[^a-zA-Z']", "", w).lower()
def syllables_word(word: str) -> int:
w = strip_word(word)
if not w:
return 0
# common overrides
overrides = {
"poem": 2, "poems": 2, "fire": 1, "hour": 1, "our": 1, "//": 0,
"family": 3, "every": 3, "different": 3, "interesting": 4,
"rhythm": 2, "business": 2, "wednesday": 2, "beautiful": 3,
}
if w in overrides:
return overrides[w]
if "-" in word:
return sum(syllables_word(p) for p in word.split("-"))
# remove trailing silent e
base = w
if base.endswith("e") and not base.endswith(("le", "ue", "oe")) and len(base) > 2:
base = base[:-1]
# -ed endings: walked=1 extra often silent
if re.search(r"[^aeiou]ed$", w) and not w.endswith(("ted", "ded")):
base = re.sub(r"ed$", "", w)
if base.endswith("e"):
base = base[:-1]
groups = re.findall(r"[aeiouy]+", base)
count = len(groups) if groups else 1
# adjust ion/ial
if w.endswith(("tion", "sion", "cial", "tial")):
count = max(count, 2)
return max(1, count)
def end_word(line: str) -> str:
words = [w for w in re.findall(r"[A-Za-z']+", line)]
return words[-1].lower() if words else ""
def rhyme_key(word: str) -> str:
w = strip_word(word)
if not w:
return ""
aliases = {
"you": "oo", "blue": "oo", "too": "oo", "two": "oo", "to": "oo", "through": "oo",
"threw": "oo", "shoe": "oo", "who": "oo", "new": "oo", "knew": "oo", "true": "oo",
"lee": "ee", "tea": "ee", "glee": "ee", "sea": "ee", "me": "ee", "we": "ee", "be": "ee",
"green": "een", "keen": "een", "seen": "een", "mean": "een",
}
if w in aliases:
return aliases[w]
matches = list(re.finditer(r"[aeiouy]+", w))
if not matches:
return w
start = matches[-1].start()
if len(matches) >= 2 and len(w) - start < 2:
start = matches[-2].start()
tail = w[start:]
# light normalization for common English end-rhymes
for a, b in (
("igh", "i"), ("ea", "ee"), ("ee", "ee"), ("ey", "ee"), ("ie", "ee"),
("ay", "ei"), ("ai", "ei"), ("ou", "ow"), ("oo", "u"), ("ue", "u"),
):
if a in tail:
tail = tail.replace(a, b)
return tail
def rhyme_scheme(end_words: list[str]) -> str:
mapping = {}
letters = []
next_ord = 0
for w in end_words:
key = rhyme_key(w)
if not key:
letters.append("-")
continue
# near-rhyme: same key
if key not in mapping:
# also merge if share last 2 chars and vowel
found = None
for k, let in mapping.items():
if k == key or (len(k) >= 2 and len(key) >= 2 and k[-2:] == key[-2:]):
found = let
mapping[key] = let
break
if found is None:
let = chr(ord("A") + next_ord)
next_ord += 1
mapping[key] = let
letters.append(mapping[key])
return "".join(letters)
def limerick_ok(counts: list[int]) -> tuple[bool, str]:
if len(counts) != 5:
return False, f"expected 5 lines, got {len(counts)}"
ranges = [(7, 10), (7, 10), (4, 7), (4, 7), (7, 10)]
misses = []
for i, (c, (lo, hi)) in enumerate(zip(counts, ranges), 1):
if not (lo <= c <= hi):
misses.append(f"line {i}: {c} not in {lo}-{hi}")
return (not misses), ("; ".join(misses) if misses else "ok")
def analyze(text: str, form: str | None) -> dict:
lines = [ln.rstrip() for ln in text.splitlines() if ln.strip()]
rows = []
counts = []
ends = []
for i, ln in enumerate(lines, 1):
words = re.findall(r"[A-Za-z']+(?:-[A-Za-z']+)*", ln)
sc = sum(syllables_word(w) for w in words)
ew = end_word(ln)
counts.append(sc)
ends.append(ew)
rows.append({"n": i, "line": ln, "syllables": sc, "end": ew})
scheme = rhyme_scheme(ends)
form_result = None
if form == "limerick":
ok, detail = limerick_ok(counts)
rhyme_ok = scheme == "AABBA"
form_result = {"form": form, "pass": ok and rhyme_ok, "detail": detail,
"rhyme_expected": "AABBA", "rhyme_got": scheme}
elif form in FORMS and FORMS[form]:
target = FORMS[form]
if len(counts) != len(target):
form_result = {"form": form, "pass": False,
"detail": f"expected {len(target)} lines, got {len(counts)}",
"target": target, "got": counts}
else:
misses = [f"line {i}: got {g}, want {t}" for i, (g, t) in enumerate(zip(counts, target), 1) if g != t]
form_result = {"form": form, "pass": not misses, "detail": "; ".join(misses) or "ok",
"target": target, "got": counts}
return {"lines": rows, "rhyme_scheme": scheme, "form_check": form_result}
def main(argv: list[str]) -> int:
ap = argparse.ArgumentParser(description=__doc__)
ap.add_argument("path", help="Poem file, or - for stdin")
ap.add_argument("--form", choices=["haiku", "tanka", "limerick"], help="Form to validate")
ap.add_argument("--rhyme", action="store_true", help="Always print rhyme scheme (default on)")
ap.add_argument("--json", action="store_true")
args = ap.parse_args(argv)
text = sys.stdin.read() if args.path == "-" else Path(args.path).read_text(encoding="utf-8")
result = analyze(text, args.form)
if args.json:
json.dump(result, sys.stdout, indent=2)
sys.stdout.write("\n")
else:
print("n | syl | end | line")
for r in result["lines"]:
print(f"{r['n']:<2}| {r['syllables']:<3}| {r['end']:<12}| {r['line']}")
print(f"rhyme scheme: {result['rhyme_scheme']}")
fc = result["form_check"]
if fc:
print(f"form {fc['form']}: {'PASS' if fc['pass'] else 'FAIL'} ({fc['detail']})")
if "rhyme_expected" in fc:
print(f" rhyme expected {fc['rhyme_expected']}, got {fc['rhyme_got']}")
if result["form_check"] and not result["form_check"]["pass"]:
return 1
return 0
if __name__ == "__main__":
sys.exit(main(sys.argv[1:]))How to use this prompt
- Review the pre-filled example and source files above.
- Replace each variable ({{_1}}, {{_2}}) with your own value.
- Copy the template or download
prompt-prompt-poetry-meter-and-rhyme-checker.txt, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Prompt to Prompt: Poetry Meter and Rhyme Checker?
Open the prompt on Promptally, review the pre-filled example, then copy the template or download prompt-prompt-poetry-meter-and-rhyme-checker.txt and paste it into your model, IDE or workflow tool. Prompt to Prompt: Poetry Meter and Rhyme Checker accepts 2 dynamic variable(s): _1, _2. Replace each {{name}} placeholder with your own value before running it.
Is Prompt to Prompt: Poetry Meter and Rhyme Checker free?
Yes. Prompt to Prompt: Poetry Meter and Rhyme Checker is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Prompt to Prompt: Poetry Meter and Rhyme Checker need?
Prompt to Prompt: Poetry Meter and Rhyme Checker accepts 2 dynamic variable(s): _1, _2. Replace each {{name}} placeholder with your own value before running it.