agentleFS
dithiothreitoldithiothreitol/ea-skills/skills/ea-run/SKILL.md

ea-run

Skill3 starsChanged 3 months agoMITView on GitHub

Orchestrate the EA pipeline - route a request to the right ea-* skill and keep the stage order honest. Use when a request spans multiple stages ("model our architecture from these documents"), when unsure which ea-* skill applies, or when resuming work in an EA repository whose state you have not inspected yet.

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Every command in these skills is easkills <command>.

    line 14
  2. Very specific:

    When a services/ catalog exists, route catalog-first: an incoming ask that matches an offering becomes a recorded request (ea-service) and …

    line 33

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Routing the pipeline

The stages depend on each other; the most common failure is starting downstream of missing input. Establish the repository's state first, then route.

Every command in these skills is easkills <command>. With the ea-skills plugin enabled, easkills is on the Bash tool's PATH; from a clone of ea-skills, python -m easkills is the same command with the same arguments and exit codes. If neither resolves, the tooling is not installed -- say so; do not reason your way to a verdict the tooling exists to compute.

State check (one minute, always)

easkills validate-facts --root .   # is there a verified fact register?
easkills validate --root . --zone approved
easkills validate --root . --zone staging
easkills validate-gov --root .     # governance records healthy?
easkills delta --root .            # unmodelled entities / unused facts
easkills align --root .            # is there a reference yardstick, and where does it stand?

Routing table

When a services/ catalog exists, route catalog-first: an incoming ask that matches an offering becomes a recorded request (ea-service) and is fulfilled through that offering's path -- the ask defines the scope, and the scope caps the work (on-demand discipline: model the slice the request needs, nothing more). Everything else routes by situation:

SituationSkill
Someone asks EA for something an offering coversea-service (record it, then fulfil via the offering)
New raw documents; empty or stale fact registerea-intake
Facts exist, no capability mapea-capability-map (the spine comes first)
Facts + capability map; elements/relations to addea-model
Staging has content; human asks to publishea-approve -- the human invokes it; it never loads on your initiative
Who is this for / concerns unclear / ISO findingsea-stakeholders
Views needed or staleea-views; then ea-docs for the description
New info against an existing modelea-delta-ingest
A change request arrivesea-change-triage first, then its route
Standards, waivers, decisions, assessmentsea-standards-base / ea-dispensation / ea-adr / ea-compliance
"Is this done / complete?" · gap analysis against a reference model or industry blueprintea-align (there is no answer without a yardstick)
Regulation, control frameworks, ICT third-party risk, "the DORA register"ea-regulatory — control gaps are align against a kind: control pack; the register is dora-register, and it generates rather than attests
Security architecture, threat modelling, "what could an attacker reach", data classification, zero trust, SBOMsea-security -- exposure walks the reach from public elements, propose --from threats writes the assessments, control coverage is align against nist-sp-800-53-r5
AI systems, "the AI Act", risk classification, the AI inventory, AI risk acceptanceea-ai-governance — same mechanism one register over: gaps are align against nist-ai-rmf-1.0, the inventory is ai-act-register, and accepted AI risk is a dispensation with an expiry
"Make a backlog out of these findings" · gaps into requirements or work packagespropose --from align|readiness|overlap|time|coverage|threats writes the skeletons; the words, owner and review date are the human half (ea-align, ea-adr)
Downstream repo needs its constraints · an ad-hoc question about the model · another agent or MCP host needs the architectureea-context -- context packs, query, and serve (read-only MCP)
"What does the target state change?" · "what changed since the last board?" · "are we getting better?"diff --plateau, diff --ref, trend via ea-board / ea-health
Diagrams for a wiki, a pull request or slides · colour a view by lifecycle or ownerea-views -- export --format mermaid|plantuml, render --heatmap
Periodic health / board preparationea-health / ea-board
"How mature is our architecture practice?"maturity via ea-health — five dimensions, never one number; the blockers are the answer
"Do two systems do the same thing?" · application rationalizationea-health reads the debt overlap items; the verdict goes to ea-change-triage (undecided overlap classifies up) or ea-board, and deliberate redundancy ends in ea-adr
Skill behaviour changedea-eval

Order for a from-scratch engagement

ea-intake → ea-stakeholders → ea-capability-map → ea-model (layer by layer, staging) → ea-validate → human review → ea-approve → ea-views → ea-docs → governance records as they arise. Do not compress stages: modelling without a fact register produces unevidenced concepts the validator will reject; views before stakeholders produce diagrams nobody asked for.

Rules that hold across every route

  • Deterministic gates decide, skills propose. If a gate blocks, fix inputs -- never bypass flags in anything you present as done.
  • Three-repair cap everywhere; after that, escalate the open question.
  • approved/ changes only via promote, on explicit human instruction.
  • Report at the end of any multi-skill run: which stages ran, gate verdicts, what is staged awaiting review, and the open questions -- one consolidated summary, not one per skill.

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