Langages & RuntimesSûr9494/100
adapt-skill__microsoft-amplifier-bundle-skills__skills-722a4def658e
Adapt a skill written for another AI coding assistant (Claude Code, Cursor, etc.) into a properly structured Amplifier SKILL.md file. Reads the source skill, identifies platform-specific conventions, researches the source platform if needed, and produces an Amplifier-native skill conforming to the Agent Skills specification with Amplifier extensions. Use when the user wants to adapt a skill, port a skill, convert a skill to amplifier, translate a skill, or has a SKILL.md from another platform they want to bring into Amplifier.
ou envoie-le directement à ton agent.
Installer dans ton projet
$ npx arboris-cli install adapt-skill__microsoft-amplifier-bundle-skills__skills-722a4def658eContenu à copier
---
name: adapt-skill
description: >
Adapt a skill written for another AI coding assistant (Claude Code, Cursor,
etc.) into a properly structured Amplifier SKILL.md file. Reads the source
skill, identifies platform-specific conventions, researches the source
platform if needed, and produces an Amplifier-native skill conforming to
the Agent Skills specification with Amplifier extensions.
Use when the user wants to adapt a skill, port a skill, convert a skill
to amplifier, translate a skill, or has a SKILL.md from another platform
they want to bring into Amplifier.
user-invocable: true
allowed-tools:
- read_file
- write_file
- glob
- grep
- bash
- delegate
model_role: general
metadata:
origin: Microsoft
---
# Adapt Skill
Adapt a skill from another AI coding assistant into a properly structured
Amplifier SKILL.md. The output must conform to the Agent Skills specification
with Amplifier extensions and be immediately usable via `/skill-name`.
## Inputs
- `$ARGUMENTS`: (Optional) Path to the source skill file or description of
what to adapt.
## Steps
### 1. Consult Skills-Assist
Before writing any skill content, load the authoritative skills reference:
```
load_skill("skills-assist")
```
Ask skills-assist about:
- Current frontmatter field reference and best practices
- Fork vs inline decision criteria
- Step annotation conventions
- Testing patterns for the type of skill being created
skills-assist is the source of truth for Amplifier skill conventions. The
examples in this skill are illustrative samples — consult skills-assist
for the complete and up-to-date specification.
**Success criteria**: You have loaded and consulted skills-assist for the
latest skill authoring conventions.
### 2. Explore the Target Bundle
If the user wants to add the skill to a bundle (e.g., `amplifier-bundle-skills`),
delegate to `foundation:explorer` to understand the bundle's conventions,
existing skills, and structure. If saving to a personal or project directory,
skip this step.
**Success criteria**: You understand the target bundle's skill conventions and
can produce a skill that fits in.
### 3. Read and Analyze the Source Skill
Read the source SKILL.md and identify:
- The skill's purpose and core workflow
- Platform-specific tool names (e.g., `Read` vs `read_file`, `AskUserQuestion`
vs natural conversation, `Bash(mkdir:*)` vs `bash`)
- Platform-specific paths (e.g., `.claude/skills/` vs `.amplifier/skills/`)
- Platform-specific frontmatter fields that need mapping to Amplifier equivalents
or removal (consult skills-assist for the current Amplifier field reference)
- Conventions that don't exist in Amplifier and need alternative approaches
- The interview or interaction model (does it rely on tools Amplifier doesn't have?)
Present a summary of what needs to change — grouped into natural clusters, not
a wall of text. Let the user confirm the adaptation plan before proceeding.
**Success criteria**: You have a clear mapping of source conventions to
Amplifier equivalents, and the user has confirmed the approach.
### 4. Research Source Platform Conventions (if needed)
If the source skill uses unfamiliar fields or conventions, research the source
platform's official documentation using web search and web_fetch. Compare
the source platform's spec with Amplifier's to identify:
- Fields that map directly (e.g., `name`, `description`, `allowed-tools`)
- Fields that map with translation (e.g., CC's `model` -> Amplifier's `model_role`)
- Fields with no Amplifier equivalent (document the gap, decide whether to drop
or approximate)
Skip this step if the source conventions are already well understood.
**Success criteria**: You understand the source platform's skill format well
enough to make accurate adaptation decisions.
### 5. Design the Adapted Skill
Walk through these decisions with the user, grouped into natural clusters
(not one question per turn, not everything at once):
**Identity and routing:**
- Suggested name and description (with trigger phrases for the visibility hook —
the description is the ONLY signal the model sees before deciding to load)
- `model_role` based on the skill's primary cognitive task (consult skills-assist
for the full set of available roles)
**Execution model:**
- Inline vs forked (`context: fork`). Critical: forked skills CANNOT do
multi-turn conversation with the user — the sub-agent runs once and returns.
If the skill needs to interview the user, it must be inline.
- Model-invocable vs user-only (`disable-model-invocation`)
- `allowed-tools` — minimum set needed, translated to Amplifier tool names
(consult skills-assist for the current tool name reference)
**Save location:**
- This project (`.amplifier/skills/<name>/SKILL.md`)
- Personal (`~/.amplifier/skills/<name>/SKILL.md`)
- A skills bundle (`amplifier-bundle-skills/skills/<name>/SKILL.md`)
**Step structure:**
- Confirm the adapted steps make sense for Amplifier's tool and agent ecosystem
- Identify any steps that need fundamental reworking (not just tool name swaps)
**Success criteria**: All design decisions confirmed by the user.
### 6. Write the SKILL.md
Write the adapted SKILL.md following Amplifier conventions. Consult skills-assist
for the full set of available frontmatter fields and current conventions.
Key principles (illustrative — consult skills-assist for complete reference):
- Frontmatter uses Amplifier fields (`model_role`, `user-invocable`, `context`,
`disable-model-invocation`, `allowed-tools`, etc.)
- `description` carries all routing weight (trigger phrases, "Use when...")
- Tool references use Amplifier names (`read_file`, `write_file`, `edit_file`,
`bash`, `glob`, `grep`, `delegate`, etc.)
- Paths reference Amplifier locations (`.amplifier/skills/`, `~/.amplifier/skills/`)
- Agent delegation uses `delegate` tool, not platform-specific mechanisms
- Success criteria on every step
Present the complete SKILL.md in a code block for review before saving.
**Success criteria**: The user has reviewed and approved the adapted SKILL.md.
### 7. Test the Skill
Before committing, verify the skill works:
1. Save the skill to `.amplifier/skills/<name>/SKILL.md` (immediately
discoverable, no config changes needed).
2. In the same session, call `load_skill("<name>")` and verify:
- The skill loads without errors
- The description is clear enough for routing
- The body instructions are actionable
3. Spawn a test session via `delegate(agent="self", context_depth="none")`
that exercises the skill:
- The test agent should load the skill and follow its instructions against
a synthesized test input (e.g., a small sample source SKILL.md from the
original platform)
- Verify the output contains valid Amplifier frontmatter, correct tool
names, and proper structure
4. If issues are found, fix the SKILL.md and re-test.
**Success criteria**: The skill loads, the test agent follows its instructions,
and the output conforms to Amplifier conventions.
### 8. Save, Commit, and Push
After testing passes:
1. Move the skill from `.amplifier/skills/<name>/` to the final destination
(bundle directory, personal skills, or leave in project skills).
2. If contributing to a bundle, commit and push via `foundation:git-ops`.
3. Tell the user:
- Where the skill was saved
- How to invoke it: `/skill-name [arguments]`
- That they can edit the SKILL.md directly to refine it
**Success criteria**: The file is at its final destination (and pushed if
targeting a bundle), and the user knows how to use it.Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait adapt-skill__microsoft-amplifier-bundle-skills__skills-722a4def658e
`$ARGUMENTS`: (Optional) Path to the source skill file or description of
Current frontmatter field reference and best practices
Fork vs inline decision criteria
Step annotation conventions
Comment utiliser adapt-skill__microsoft-amplifier-bundle-skills__skills-722a4def658e
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour adapt-skill__microsoft-amplifier-bundle-skills__skills-722a4def658e
Dis simplement à ton agent quelque chose comme :
Applique le skill adapt-skill__microsoft-amplifier-bundle-skills__skills-722a4def658e à cette tâche
Utilise adapt-skill__microsoft-amplifier-bundle-skills__skills-722a4def658e pour améliorer cette implémentation
Passe en revue ce sujet avec adapt-skill__microsoft-amplifier-bundle-skills__skills-722a4def658e
Skills liés à adapt-skill__microsoft-amplifier-bundle-skills__skills-722a4def658e
add-server-logic__microsoft-power-platform-skills__plugins-power-pages-skills-81999d020621
Creates, edits, and manages Power Pages Server Logic files — server-side JavaScript that runs securely on the Power Pages runtime. Orchestrates the full lifecycle: gathering requirements, fetching documentation, implementing code, configuring site settings, and deploying. Use when the user wants to add server-side code, create API endpoints, or move logic from the browser to the server in their Power Pages site.gget
gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.amplifier-tool-leverage-patterns__microsoft-amplifier-bundle-skills__skills-10d73d2bc760
Use when building an Amplifier-powered workflow or automation tool and deciding how to expose it — as standalone .dot attractor pipelines (incl. inside the Resolve dot-graph resolver), an importable Python lib, agent-callable tool modules, or a CLI. Covers the four leverage levels, the DRY rule that keeps logic in ONE home, the judgment for which levels a real consumer actually needs (and when adding a level is just ceremony), and the maximally-DRY attractor-only specialization where the .dot pipeline is the sole logic home.