bcquality/skills/entry.md

kind	id	version	title
entry-point	entry	1	Entry — route a task to the action skill(s) that apply

Entry

When an agent is pointed at BCQuality to perform a task, it invokes this skill first. Entry returns a dispatch record naming the action skill or skills to invoke next. Routing logic lives here, not in the orchestrator.

Entry is its own kind: entry-point. It structurally follows the DO four-step pattern (Source → Relevance → Worklist → Action) but the units it selects are action skills, not knowledge files, and its output is a dispatch record, not a findings-report.

This contract is stable. Changes require a PR approved by both maintainers.

Inputs

The agent invokes Entry with a task context supplied by the orchestrator:

task-context:
  goal: string            # free-text description of what needs doing
  inputs-available:       # values the orchestrator has ready to pass to a chosen skill
    - pr-diff
    - file-path
  technologies: [al]
  bc-version: 28
  countries: [w1]
  application-area: [finance]
  enabled-layers: [microsoft, community, custom]
  disabled-skills: []     # repo-relative paths the consumer has opted out of

goal and inputs-available are required. Filter dimensions (technologies, bc-version, countries, application-area) are optional; omitting a dimension is equivalent to "unconstrained" — see Relevance for the exact matching rule. enabled-layers defaults to all three. disabled-skills defaults to empty.

Source

All action skills under */skills/**/*.md across the layers named in enabled-layers. Meta-skills in /skills/ (including this file) are not candidates and MUST be excluded. Entry never dispatches Entry.

Relevance

A candidate is relevant when every condition below holds:

1. Its frontmatter kind is action-skill.
2. task-context.inputs-available intersects its declared inputs — the orchestrator has at least one of the input types the skill accepts. A skill is NOT required to accept every input the orchestrator can supply; it is the skill's responsibility to return outcome: "not-applicable" if the supplied subset is insufficient.
3. Its frontmatter filter dimensions (bc-version, technologies, countries, application-area) match the task context per READ's matching semantics. A dimension omitted from task-context is treated as a wildcard and matches any value the skill declares; a dimension explicitly supplied in task-context must match the skill's declared values per READ. Conditionally-applicable candidates (any dimension unknown per READ) are admitted; they are not filtered out at Entry and are the dispatched skill's concern.
4. Its repo-relative path is not in task-context.disabled-skills.

Candidates that fail any condition go to skipped with the corresponding reason (inputs-unsatisfied, filter-mismatch, configuration). Skills excluded because they are not kind: action-skill are not reported in skipped.

Worklist

Narrow the relevant set to the skills that will actually be dispatched:

1. Goal match. Score each candidate's description and id against task-context.goal. Drop candidates that do not plausibly address the goal; record them in skipped with reason: "goal-mismatch". Scoring is implementation-defined; agents MUST prefer exact keyword overlap before fuzzy signals.
2. Super-skill precedence. When a super-skill and any skill listed in its sub-skills are both in the remaining set, the super-skill supersedes the sub-skill only when the goal is a broader match for the super-skill than for the sub-skill. When the goal specifically names a concern the sub-skill handles (for example, goal = "performance review" with al-code-review and al-performance-review both present), the sub-skill wins and the super-skill is dropped with reason: "narrower-sub-skill-selected". Otherwise the super-skill wins and each listed sub-skill in the set is dropped with reason: "superseded-by-super-skill". The principle is: Entry dispatches the narrowest skill that satisfies the goal. A dropped sub-skill's skipped entry MUST carry superseded-by naming the super-skill that won; a dropped super-skill's entry MUST carry superseded-by naming the winning sub-skill.
3. Layer precedence. When two remaining candidates share the same id across layers, keep the highest-precedence one. Skill layer precedence is /custom/ over /microsoft/ over /community/ — the same ordering READ defines for knowledge files. Drop the losers with reason: "layer-precedence" and superseded-by naming the winning path.

Each dropped candidate appears in skipped[] at most once; record the first reason that caused the drop.

The post-filter set is the dispatch list.

Action

Emit a single JSON document conforming to the output contract below. Entry does not invoke the selected skills — that is the agent's responsibility after receiving the dispatch record.

Output

{
  "skill": { "id": "entry", "version": 1 },
  "outcome": "routed | no-match | failed",
  "outcome-reason": "string",
  "dispatch": [
    {
      "skill": {
        "id": "al-code-review",
        "version": 1,
        "path": "microsoft/skills/review/al-code-review.md"
      },
      "rationale": "string",
      "inputs": ["pr-diff"]
    }
  ],
  "skipped": [
    {
      "skill": { "id": "string", "path": "string" },
      "reason": "inputs-unsatisfied | filter-mismatch | goal-mismatch | layer-precedence | superseded-by-super-skill | narrower-sub-skill-selected | configuration",
      "superseded-by": { "id": "string", "path": "string", "version": 1 }
    }
  ]
}

Field semantics

outcome (required) —

• routed — dispatch is non-empty; the agent proceeds to invoke each listed skill.
• no-match — no action skill applied to the task; dispatch is empty. Set outcome-reason. Candidates that were considered and dropped MUST appear in skipped[].
• failed — Entry itself could not complete (for example, the action-skill folders could not be enumerated, or task-context was malformed). Set outcome-reason. Agents MUST NOT synthesize a dispatch in this case. This is distinct from an action skill's own outcome: "failed" per DO, which applies during skill execution after dispatch.

dispatch[] — each entry names one action skill to invoke.

• skill.path — repo-relative, forward slashes. The agent fetches and executes the file directly from this path.
• skill.version — copied from the dispatched skill's frontmatter so the orchestrator can detect drift between dispatch time and execution.
• rationale — short human-readable string, for logs and traceability.
• inputs — the intersection of task-context.inputs-available and the skill's declared inputs. The agent MUST pass exactly this subset when invoking the skill. Sending a strict intersection avoids accidental information leakage between skills.

Ordering of dispatch[] is not significant.

skipped[] — MUST list every candidate that was considered and dropped. Each dropped candidate appears at most once; the first drop reason wins. Reasons:

• inputs-unsatisfied — task-context.inputs-available did not intersect the skill's declared inputs.
• filter-mismatch — one or more frontmatter filter dimensions explicitly did not match.
• goal-mismatch — Relevance admitted the candidate but it failed the goal-match step.
• layer-precedence — a higher-precedence skill with the same id won. superseded-by is required.
• superseded-by-super-skill — a super-skill listing this skill as a sub-skill was dispatched instead. superseded-by is required.
• narrower-sub-skill-selected — a sub-skill listed by this super-skill was dispatched because the goal specifically matched it. superseded-by is required.
• configuration — the skill is listed in task-context.disabled-skills.

superseded-by — required for layer-precedence, superseded-by-super-skill, and narrower-sub-skill-selected; omitted otherwise. Names the winning skill by id, path, and version.

Empty-dispatch example (no action skills exist in any enabled layer):

{
  "skill": { "id": "entry", "version": 1 },
  "outcome": "no-match",
  "outcome-reason": "No action skills found under */skills/ in the enabled layers.",
  "dispatch": [],
  "skipped": []
}

Populated example (PR review on a repo where only al-performance-review is enabled; al-code-review and al-security-review were disabled by configuration):

{
  "skill": { "id": "entry", "version": 1 },
  "outcome": "routed",
  "dispatch": [
    {
      "skill": { "id": "al-performance-review", "version": 1, "path": "microsoft/skills/review/al-performance-review.md" },
      "rationale": "Goal 'review pull request' matched; inputs-available contains pr-diff.",
      "inputs": ["pr-diff"]
    }
  ],
  "skipped": [
    { "skill": { "id": "al-code-review", "path": "microsoft/skills/review/al-code-review.md" }, "reason": "configuration" },
    { "skill": { "id": "al-security-review", "path": "microsoft/skills/review/al-security-review.md" }, "reason": "configuration" }
  ]
}

How the agent uses the dispatch

1. Invoke Entry with the orchestrator-supplied task context.
2. Receive the dispatch record.
3. For each entry in dispatch[], read the referenced action skill, execute its Source → Relevance → Worklist → Action steps per DO, and produce a findings-report.
4. Return the findings-reports to the orchestrator. When outcome is no-match or failed, return the dispatch record itself so the orchestrator can log the reason.

READ and DO are the contracts that govern what the dispatched skills do. An agent that has not yet read READ and DO reads them when it executes the first dispatched skill — they are not prerequisites for invoking Entry.