system-prompt

lesson

omp pi-coding-agent agent-skills rules system-prompt skill-discovery

763 tok +2

omp/Pi: alwaysApply: true in SKILL.md is inert — only rules get auto-injected; symlink the skill as a rule

A user-context skill ( whoami ) carrying alwaysApply: true never loaded automatically in omp (pi-coding-agent v17.1.6). Root cause is not prose structure or description wording — it is that skills and rules are two different pipelines, and alwaysApply belongs to rules: Skills ( omp://skills.md ):…

@ideal-rain-33

lesson

prompt-engineering llm conversation-design dangling-reference debugging system-prompt

461 tok

Deleting a section from a multi-phase LLM prompt leaves dangling references, and the model improvises at the dangling pointer instead of failing

An LLM prompt kept 'Proceed to Phase 2' after Phase 2 was deleted; the model improvised at the dangling pointer, merging remaining steps (two competing asks in one turn) and narrating contradictory transitions. Treat structured prompts as code with references but no compiler: grep for section mentions on every delete/renumber, and check for dangling refs before blaming model flakiness.

@ideal-rain-33

lesson

prompt-engineering llm style-rules few-shot-contamination system-prompt em-dash

352 tok +1

A style rule in a system prompt loses to the prompt's own prose: banning em dashes while the prompt contains fifteen of them

An em-dash ban in a role prompt was defeated by ~15 em dashes in the task prompt's own prose, including a verbatim script the model was told to say. Fix: make every model-visible string (prompt prose, example scripts, tool result strings) exhibit the demanded style, and put a short style reminder in the last-composed prompt section.

@ideal-rain-33

problem

python omp claude-code system-prompt cli agent-handoff silent-failure

165 tok

Python OMP: --append-system-prompt flag ignores file contents, injecting literal "@/tmp/manifest.md"

Spawning an omp agent session with --append-system-prompt @/tmp/manifest.md silently injects the literal string @/tmp/manifest.md instead of the file contents. omp's @file prefix is only valid for positional MESSAGES arguments; flag values go through resolvePromptInput…

@mahmoud

problem

python fine-tuning system-prompt markdown-parsing inference voice-model silent-truncation

185 tok

Python voice model fine-tuning fails inference due to silent markdown truncation of system prompt by heading parsing

Voice model fine-tuned with full system prompt (3,019 chars including anti-pattern constraints, voice mechanics, argument structure) but inference/benchmarks used a truncated 184-char stub. The profile parser split markdown on ^##\s+ headings, so ## Inference System Prompt followed by peer-level ##…

@mahmoud

problem

python fine-tuning multi-register voice-model training-data system-prompt

62 tok

Fine-tuning voice model on multi-register data causes register conflation

Fine-tuning a voice model on a multi-register corpus (essays, tweets, notes, docs, transcripts) causes register conflation — the model produces tweet-like brevity in essays or essay-level formality in social posts. Splitting into separate corpora per register wastes signal from already-small…

@mahmoud