@thinkingaiagenticengine/ae-capability

@thinkingaiagenticengine/ae-capability — AI coding skill

View in AI SkillSafe app
0 downloads
0 stars
0 demos
SKILL.md
nameae-capability
version1.3.1
descriptionAE/TE capability gateway discovery and generic invocation with ae-cli. Use when the user needs to list or search available capabilities, inspect an unknown capability schema/risk/auth contract, optionally validate complex input or dry-run before execute, or invoke a long-tail capability that has no curated ae-cli command. Always discover and inspect before composing input; never guess capability IDs or input fields. Prefer on-demand validate OR dry-run — do not stack both by default.

ae-capability

Use this skill for progressive capability discovery and generic gateway invocation. Prefer a domain-specific curated command when one exists; use ae-cli capability ... for discovery and long-tail capabilities.

Decision Order

  1. Use a domain skill and its curated command when it directly covers the task.
  2. Otherwise search the capability catalog.
  3. Inspect the selected capability before constructing input.
  4. Optionally pre-check — pick at most one path from the table below (do not stack validate + dry-run by default).
  5. Execute (capability run / curated command). Chat confirmation only for delete (high-risk-write).

Never guess a capability ID, input field, enum value, resource ID, or project ID.

CRITICAL — Host compat (do this first): After each ae-cli run, check stderr and _notice.host_compat. If either is present, open the user reply with a short ⚠️ version warning and quote the npm i -g / npx skills add (or update-cluster) lines verbatim, then present the business result. Soft tip; ok: true can still carry the notice.

On-demand pre-check (pick one)

Motto: validate = fix params; dry-run = confirm ready to run. Hard rule: for the same final input, do not run both validate and dry-run by default. dry-run already includes parameter validation.

Situation What to call Then
Simple / familiar input (typical read, few scalar fields) Neither — skip pre-check run directly
Complex qp / nested payload / share maps; still iterating shape --validate / capability validate only (may repeat while fixing) After valid=true, run directly — skip dry-run unless below applies
Need risk / output_mode / supports_cancel, or high-risk-write delete gate --dry-run / capability dry-run only (once on final input) Then confirm (delete) / run. Do not validate first on the same final payload
Rare exception: many validate iterations, then still need delete confirmation validate while drafting → one dry-run on the final input Then chat confirm → run --yes

Do not treat validate → dry-run → run as the normal path. That stack is the rare exception in the last row only.

Skill references

Default: do not create a standalone skill reference for every new capability. Use searchinspect → (optional validate or dry-run) → run; catalog description, risk, and inspect input_schema are the contract.

Create or keep a standalone reference only when at least one applies: L2 hard bar, easily confused with neighbors, high-risk-write delete workflow, or multi-step orchestration. Domain skills may inline one-line summaries in overview matrices (e.g. analysis_gateway_assets.md). See capability-command-admission §10.

Commands

# List company-level summaries, or the capabilities available in one project.
ae-cli capability list --domain <domain> [--project-id <id>]

# Search capability IDs and descriptions. All terms must match.
ae-cli capability search "<terms>" --domain <domain> [--project-id <id>]

# Read input_schema, risk, auth, output, and dry-run support.
ae-cli capability inspect <capability-id> [--project-id <id>]

# Optional — fix params only (gateway /validate). Curated: global --validate.
ae-cli capability validate <capability-id> --input '<json-object>'
ae-cli metadata data-table sql-write --project-id 1 ... --validate

# Optional — confirm ready to run (gateway /dry-run). Curated: global --dry-run.
ae-cli capability dry-run <capability-id> --input '<json-object>'
ae-cli metadata data-table sql-write --project-id 1 ... --dry-run

# Execute (after inspect; add at most one pre-check when needed).
ae-cli capability run <capability-id> --input '<json-object>'

--input accepts:

  • An inline JSON object.
  • A JSON file path.
  • @<path>.
  • - to read JSON from stdin.

The capability namespace is inferred from <capability-id> for inspect, validate, dry-run, and run. Use --domain <domain> only to override routing. For list, search, and inspect, omit --project-id for company License/Feature visibility; pass it to include project membership, project Feature, and user permission filtering.

validate vs dry-run

validate / --validate dry-run / --dry-run
Purpose Check input shape while composing complex payloads Pre-execution confirmation (params + risk/output/cancel)
Does it mutate business data? No No
Primary success fields valid, capability_id, normalized_input dry_run, capability_id, risk, output_mode, supports_cancel, normalized_input
When to prefer Iterating nested payload / qp / multi-field JSON Final input; need risk/output contract or delete gate
Typical failure focus Missing/invalid fields, type mismatches, bad qp structure Same param errors, plus readiness signals for actual run
Curated commands Global --validate on gateway-backed curated commands Global --dry-run

Server may still authenticate the caller for both endpoints. Neither executes the capability business handler. Do not combine --validate and --dry-run on one invocation.

Complex input: prefer --validate only while assembling qp / nested payload; after valid=true, go to run. Use dry-run instead of validate when you need the risk/output preview or a delete confirmation gate — not both.

Example (param risk only — no stacked dry-run):

ae-cli metadata data-table sql-write ... --validate   # iterate until valid
ae-cli metadata data-table sql-write ...              # execute ordinary write

Example (delete gate — dry-run only on final input):

ae-cli capability dry-run analysis.folder.delete --input '...'
# stop, ask user, then:
ae-cli capability run analysis.folder.delete --input '...' --yes

Risk Levels (aligned with lark-cli)

risk Meaning Chat confirmation before run? CLI [y/N] without --yes?
read Query / list / inspect No No
write Create, update, share, and other ordinary writes No No
high-risk-write Delete or remove resources Yes Yes

Legacy values such as create, update, or delete are normalized to this three-tier model (deletehigh-risk-write; create/updatewrite).

Safety

  • list, search, inspect, validate, and dry-run never execute business mutations.
  • Curated gateway commands: --validate/validate; --dry-run/dry-run; do not combine them.
  • Do not stack validate + dry-run on the same final input by default (efficiency).
  • capability run inspects metadata before execution when --yes is absent.
  • Only high-risk-write requires chat confirmation before capability run ... --yes.
  • read and ordinary write may run after inspect; add validate or dry-run only when the on-demand table says so.
  • Use --yes on delete runs only after the user explicitly authorizes execution in chat.
  • Global --dry-run on capability run / curated commands calls the gateway dry-run endpoint instead of execute.
  • Global --validate on capability run / curated commands calls the gateway validate endpoint instead of execute.

High-Risk Confirmation Workflow (Agent)

Applies only when inspect shows risk=high-risk-write.

User intent (for example "delete this space") is not execution authorization. Do not pass --yes just because the user stated the desired action.

  1. capability inspect. For complex delete input only, you may iterate with validate while drafting; for the final payload use dry-run once (skip a redundant validate on that same final JSON — dry-run already validates params).
  2. Stop in the same turn. Do not call capability run in the same turn as dry-run.
  3. Summarize in chat: capability ID, project_id, key input fields, and risk=high-risk-write.
  4. Ask the user to confirm execution. Prefer AskUserQuestion when that tool is available; otherwise ask in plain text and wait for the user's next message.
  5. Only after the user replies with explicit authorization (for example confirm, execute, or yes) run capability run ... --yes with the same input as dry-run.

For risk=write: no chat confirmation gate. Prefer direct run after inspect; use --validate alone when the payload is complex and you are fixing shape; use --dry-run alone only if you need the risk/output preview — not validate then dry-run as a habit.

Never pass --yes on the first delete attempt. CLI terminal [y/N] prompts do not work in Agent Bash; chat confirmation is the real gate for high-risk-write.

Output

  • list returns { domain, count, capabilities }.
  • search returns { domain, query, count, capabilities }.
  • inspect, validate, dry-run, and run return gateway data in the standard ae-cli envelope.

Examples

ae-cli capability search "dashboard list" --domain analysis
ae-cli capability inspect analysis.dashboard.list
ae-cli capability validate metadata.data_table.sql_write --input input.json
ae-cli capability dry-run analysis.folder.delete --input '{"project_id":1,"folder_ids":[1001]}'
ae-cli capability run analysis.dashboard.list --input input.json

Embed badges

Add these to your README to show the skill's verification status.

SkillSafe verified badge
Verified badge
[![SkillSafe verified badge](https://api.skillsafe.ai/v1/badge/@thinkingaiagenticengine/ae-capability/verified)](https://skillsafe.ai/skill/@thinkingaiagenticengine/ae-capability/)
Installs badge
Installs badge
[![Installs badge](https://api.skillsafe.ai/v1/badge/@thinkingaiagenticengine/ae-capability/installs)](https://skillsafe.ai/skill/@thinkingaiagenticengine/ae-capability/)
Scan badge
Scan badge
[![Scan badge](https://api.skillsafe.ai/v1/badge/@thinkingaiagenticengine/ae-capability/scan)](https://skillsafe.ai/skill/@thinkingaiagenticengine/ae-capability/)
Eval pass rate badge
Eval pass rate
[![Eval pass rate badge](https://api.skillsafe.ai/v1/badge/@thinkingaiagenticengine/ae-capability/eval)](https://skillsafe.ai/skill/@thinkingaiagenticengine/ae-capability/)