bh-rat/steer/converting-skills
Claude Code and agent skill by bh-rat/steer
- community
Checking that the SKILL.md file is still in the repository.
Converts an existing Agent Skill to the steer framework, preserving its content and behavior: license triage, mapping hand-rolled machinery to steer components, rebuild with steer new, validation, and a measured comparison against the original. Use when the user asks to convert, port, migrate, or rebuild an existing skill on steer.
Install
npx vskill@latest install bh-rat/steer/converting-skillsSKILL.md
converting-skills
Port an existing skill onto steer without changing what it does. The user gets a drop-in rebuild (same name, same triggers, same capabilities), a NOTICE.md recording every delta, and a measured comparison against the original instead of a vibe.
The conversion flow and lessons run on this skill's bundled runtime (scripts/steer.py); authoring the rebuild additionally needs the installed steer CLI, checked below.
Before you start
- Check steer. Run
steer --version. If it is missing, ask the
user to install it (uv tool install steer-ai or pip install steer-ai); do not hand-roll a lookalike scaffold.
- Set two paths.
SKILLis this skill's own directory (this
file's parent); WS is a scratch directory for this conversion.
- Apply past lessons. Run
python3 "$SKILL/scripts/steer.py" learn show and follow what it says; those lessons came from real previous conversions.
- Building something new instead? Creating a skill from scratch
or improving one you own is the building-skills skill's job, if installed; this one is for porting an existing skill faithfully.
Ground rules
- The prose is the payload. The source skill's rules, red-flag
lists, and phrasing are tuned content; convert the machinery around them and keep the voice verbatim.
- Rebuild exactly. Same name, same description triggers, same
capabilities. Anything you deliberately change goes in NOTICE.md.
- License is a gate, not a formality. Per skill, not per repo.
No-derivatives means stop and tell the user.
Process
The conversion runs behind an enforced flow: steps verify themselves against the conversion workspace, and you cannot skip ahead. The flow lives next to this file and operates on the conversion workspace:
python3 "$SKILL/scripts/steer.py" flow status --workspace "$WS" python3 "$SKILL/scripts/steer.py" flow next --workspace "$WS"
Lay the workspace out the way the flow verifies it:
original/ vendored copy of the source skill rebuild/<name>/ the steer rebuild out/conversion/ triage.md, comparison.md
The steps:
- triage: inventory the original, identify its license, and map
each piece of hand-rolled machinery to a component (references/component-mapping.md, references/licensing.md). Everything lands in out/conversion/triage.md.
- scaffold:
steer new <original-name> --dir rebuildwith exactly
the components triage mapped. Not more; a toolkit skill gets no flow, a knowledge skill may need no runtime components at all.
- port: move the content, swap machinery for the generated
component instructions, put branch-only material behind references/ pointers, carry the license file, record every delta in NOTICE.md.
- verify:
steer validate rebuild/<name>gates the flow; fix
findings rather than arguing with them.
- compare: measure both sides with
references/measuring.md and write out/conversion/comparison.md; present the deltas to the user.
Do NOT claim the conversion is done while python3 "$SKILL/scripts/steer.py" flow status --workspace "$WS" shows incomplete steps.
Learning
This skill improves with use. As you work:
- The moment the user corrects you, or something fails and then works a
different way, capture it: python3 "$SKILL/scripts/steer.py" learn note "<one imperative rule>" --kind correction Lessons are atomic rules ("Use X not Y when Z"), never secrets.
- When a lesson from
python3 "$SKILL/scripts/steer.py" learn show
helped, run python3 "$SKILL/scripts/steer.py" learn confirm <id>; when one was wrong, python3 "$SKILL/scripts/steer.py" learn dispute <id>.
- Before finishing, record the outcome:
python3 "$SKILL/scripts/steer.py" learn run ok (or failed with --note).
If a learnings.md exists in this skill, read it too; those are promoted lessons that shipped with the skill.
References
Load these only when that step of the work is hit:
- Mapping hand-rolled machinery to components (triage, scaffold):
first read references/component-mapping.md.
- License identification and attribution artifacts (triage, port):
first read references/licensing.md.
- The comparison checklist (compare): first read
references/measuring.md.
Gotchas
- Well-built originals validate CLEAN. Do not promise "steer will find
errors"; the wins live in failure behavior, enforcement, secret hygiene, and context economy. Measure, then claim.
- Verify conditions need reality to check. Find the artifacts the
original's own prose already demands ("write it down") and make them files; use mandate steps only where no artifact exists.
- Moving files into
references/silently breaks their mentions of
each other; grep the moved files for cross-references and fix paths.
- Instructions in the original that print credential values (grepping
.env files, echoing tokens) leak secrets into the transcript. Convert to name-only detection, export by substitution, and persistence through the secrets component, and say so in NOTICE.md.
- Do not restate flow directives in the body or vice versa; directives
point at body sections, one source of truth.
- Remove scaffold directories the rebuild does not use (an empty
assets/ or references/) before validating; scripts/ stays, it holds the bundled runtime.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/converting-skills/SKILL.md
Popularity
- Repository stars
- 7
- 7-day trend score
- 10
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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