Project Context
- git installed: !
which git 2>/dev/null || echo "not installed"
- CLAUDE.md: !
find . -maxdepth 1 -name "CLAUDE.md" -type f
- project-discovery.md: !
find . -maxdepth 3 -name "project-discovery.md" -type f
- personal config directory: !
bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh" 2>/dev/null || echo "$HOME/.claude"
- project .han/config.md: !
cat .han/config.md 2>/dev/null || echo ""
As your first action, use the Read tool on .han/config.md inside the personal config directory path above. A read
that returns no file is no personal configuration: continue silently. When that file or the project .han/config.md
probe supplies content, apply it per config-rule.md, which governs precedence
between the two files, relative-path resolution, and what to do with a file that reads but cannot be used.
Operating Principles
Read these before dispatching anything. They constrain every step below.
- A focus area is required. This skill analyzes a specific module, directory, or feature. "Analyze the whole
codebase" is not a valid input. If no focus area resolves to real files, stop and ask the user to name one.
- The agents own the judgment; the skill orchestrates. The skill validates the focus area, classifies size, selects
the roster, fans agents out and in, and renders the report. It does not produce findings itself.
- The discovery roster is signal-selected; the synthesis spine always runs.
han-core:structural-analyst,
han-core:behavioral-analyst, han-core:risk-analyst, and han-core:software-architect run at every size BECAUSE
structure, runtime behavior, risk-of-inaction, and SOLID synthesis are the irreducible core of an architectural read.
Every other specialist is added only when the focus area's signals warrant it and the size band allows it, BECAUSE
dispatching an agent whose domain the code does not touch burns tokens and dilutes the report with low-signal
findings.
- Default to small. Start classification at small and escalate only when a higher-band signal is clearly present.
Borderline signals stay at the smaller band. Under-dispatching is recoverable by re-running at a larger size;
over-dispatching is not.
- Recommendations, not refactors. The skill never modifies code.
han-core:software-architect (and
han-core:system-architect when dispatched) produce pseudocode sketches for proposed boundaries. Implementation is a
separate, later step.
- Negative results are valuable. When a dimension is genuinely clean (no concurrency in a pure-functional module,
sound boundaries), the report says so. Agents must not fabricate findings to fill a section.
- Single pass, no iteration round. This skill is a fan-out / fan-in, not an iterative loop. If a band proves too
small, the user re-runs at a larger size — the skill does not self-escalate mid-run.
- System-altitude work is deferred by default.
han-core:software-architect defers cross-service / bounded-context
/ trust-boundary findings rather than absorbing them. han-core:system-architect is added to the roster only at large
size and only when a boundary-crossing seam is actually present. When it is not dispatched, those deferrals are
surfaced in the report so the user can dispatch han-core:system-architect separately.
- The report template lives at
references/architectural-analysis-report-template.md. The
skill renders that template by filling placeholders and removing the sections whose agent was not dispatched. It does
not invent a structure inline.
- The synthesized report is written for a named reader. As the skill writes the final report's synthesized prose, it
sources the shared standard by invoking
han-communication:readability-guidance and applies it, holding one audience
above the writing: the engineer weighing the module's design and deciding whether to change it. Scope that frame per
section so the technical specifics that reader needs — file paths, finding IDs, exact conditions, pseudocode — are
preserved, never simplified away.
Run an Architectural Analysis
Step 1: Validate the Focus Area and Resolve Project Context
Bind $size. If the user passed small, medium, large, or dynamic as the first positional argument, bind
$size to it. Anything else is part of the focus-area context, not a size; bind $size to the literal
none provided.
Resolve the focus area. Take the remaining argument and conversation context as the focus area. Confirm it resolves
to real files using Glob and Read. Identify the boundary: which files and directories the focus area includes, and
one layer of neighbors in each direction (what it imports, what imports it). If the focus area does not resolve to
actual files, stop and ask the user to clarify it before going further. If no focus area was supplied at all, ask the
user to name one — do not proceed against the whole codebase.
Resolve project context. If CLAUDE.md is present (see Project Context), read its ## Project Discovery section
for conventions. Fall back to project-discovery.md if present. These resolve language, framework, and convention
questions so the agents infer less. If neither exists, the agents fall back to surrounding-code inference — note this in
the agent briefs.
Note git availability. Read the git installed value from Project Context. If it is empty or reads not installed,
git is unavailable: the analysts will skip churn- and recency-based reasoning and the report must state this. If it
shows a path, the analysts may use git history for churn and likelihood evidence.
State the driving concern, if any. If the user named a concern ("I suspect a race in the retry queue", "we want to
split this module"), capture it. It biases every agent's attention without narrowing scope. Pass it into every brief.
Step 2: Detect Signals and Classify Size
Run targeted Grep and Glob over the focus area to detect which domains the code actually touches. These signals
drive both the size band and the roster:
- Concurrency signal:
async/await, Promises, threads, goroutines, workers, channels, mutexes/locks, semaphores,
queues, Promise.all, WaitGroup, thread pools, atomic types.
- Security signal: authentication, authorization, sessions, tokens, passwords, secrets, crypto calls, PII fields,
deserialization of untrusted input, SQL/command construction from input.
- Data signal: schema or migration files, ORM models/repositories, hand-written SQL, query builders, data-pipeline
or stream/event-contract code, document-store access.
- DevOps signal: Dockerfiles, IaC (Terraform, CloudFormation, k8s manifests), CI/CD pipeline definitions,
observability/metrics/tracing wiring, retry/timeout/scaling configuration.
- System-seam signal: the focus area crosses a deployable unit or bounded-context boundary — RPC/HTTP clients to
sibling services, message brokers, shared databases across services, cross-context model imports, contested data
ownership.
- Unfamiliar-area signal: the focus area is large or its internal structure is not legible from a first read, so the
discovery analysts would benefit from a map first.
Classify the size. Default to small. Escalate only when a band's signal is clearly present; when a signal is
borderline, stay at the smaller band.
- Small (default) — a single module or directory, contained surface, no cross-cutting concerns: no security
signal, no data signal, no DevOps signal, no system-seam signal. The concurrency signal may be present or absent.
- Medium — two or three adjacent subsystems, OR exactly one cross-cutting concern present (one of: security, data,
or DevOps signal — a single auth surface, a single data-contract, a single operational surface).
- Large — more than roughly a dozen files across multiple subsystems, OR two or more cross-cutting concerns present
together, OR a system-seam signal is present, OR
$size is large.
Apply the size override. If $size is not none provided, use it: a band value is the band and skips the
signal-based classification above, while dynamic forces the signal-based classification even when the project config
sets a default band. If $size is none provided and the project config supplies a band via default-swarm-size
(per the config rule in ../../references/config-rule.md), use that band, skip the
signal-based classification, and announce the config as the source. In every case still select specialists by signal
(a large band does not dispatch agents whose domain the code never touches). A conversational override ("run this
large") is equivalent to $size.
Step 3: Build the Roster and Announce It
Synthesis spine — dispatched at every size:
han-core:structural-analyst — static structure: module boundaries, coupling, dependency direction, abstractions,
duplication. Emits S# findings.
han-core:behavioral-analyst — runtime behavior: data flow, error propagation, state management, integration
boundaries. Emits B# findings.
han-core:risk-analyst — scores the S/B/C findings for risk of inaction (likelihood, severity, blast radius,
reversibility). Emits R# items. Runs after the discovery wave.
han-core:software-architect — synthesizes all upstream findings into intra-codebase recommendations grounded in
cohesion, coupling, and SOLID, with pseudocode sketches. Emits A# items. Runs last.
Signal-selected discovery specialists — added when the signal is present and the band allows:
Roster caps by band: small runs the spine plus han-core:concurrency-analyst only (3–4 agents); medium adds one
or two of
{han-core:adversarial-security-analyst, han-core:data-engineer, han-core:devops-engineer, han-core:on-call-engineer}
by signal (4–6 agents); large adds the remaining signalled specialists, han-core:codebase-explorer if the area is
unfamiliar, and han-core:system-architect if a system-seam signal is present (6–9 agents). If more than the cap's
worth of specialists are signalled, keep the band's count and prefer the specialists covering the strongest signals;
note the omitted domains in the executive summary so the user can re-run larger. When both han-core:devops-engineer
and han-core:on-call-engineer are signalled, prefer han-core:on-call-engineer if the focus area is application
source and han-core:devops-engineer if it is infrastructure or pipelines; include both at large size only.
Extra agents named in the project config's ## Extra Agents list join the signal-selected specialist pool and compete
under the same signals and band caps, per ../../references/config-rule.md: add one
only when a signal in the focus area matches its stated specialty, count it against the band's cap, and skip an entry
that does not resolve to a dispatchable agent with a one-line note.
han-core:system-architect is the only specialist that changes han-core:software-architect's behavior: when
han-core:system-architect is on the roster, han-core:software-architect still defers boundary-crossing findings but
the report carries han-core:system-architect's recommendations for them instead of only listing them as deferred.
Announce the decision in one line before dispatching, with per-specialist justification — for example:
Size: medium. Focus area src/auth/ spans the session and token subsystems; one security signal detected (token
handling). Roster (5): han-core:structural-analyst, han-core:behavioral-analyst (spine),
han-core:concurrency-analyst (async token refresh detected), han-core:adversarial-security-analyst (token +
session handling), then han-core:risk-analyst and han-core:software-architect.
State git availability in the same message if git is absent ("git unavailable — churn and recency evidence will be
skipped"). Proceed without a blocking confirmation; this analysis is read-only and re-runnable, so a gate here would
gate a reversible operation. If the user objects to the roster, honor the adjustment.