/diamond-progress

name: diamond-progress
description: "Progress a diamond from one phase to the next. Runs all required theory gate checks, validates evidence, and at Deliver->Complete runs the executable Definition of Done checklist."
metadata:
  instruction_budget: "205"
  framework_dependency: "mycelium"
  framework_dependency_note: "This skill is designed to run within the Mycelium framework (https://github.com/haabe/mycelium). Standalone use will skip the canvas state, theory gates, and harness behavior the skill assumes. Install: /plugin install mycelium@haabe-mycelium."

Diamond Progress Skill

Progress a diamond through phases with full theory gate validation. At delivery completion, runs an executable checklist that GATES progression.

Preflight: Read target canvas file(s) before any Write/Edit

**Hard rule.** Before issuing `Write` or `Edit` against any `.claude/canvas/*.yml`, use the **Read tool** on that file in this session. Claude Code's Read-before-Write check requires the `Read` tool specifically — `cat`/`head`/`grep` via Bash do NOT satisfy it.

Preflight: Read-before-Recommend (gate-narration discipline)

**Hard rule** (per CLAUDE.md Communication Rules, anti-pattern #7 graduation v0.39.16). Every gate-status narration, blocker statement, hold claim, theory-gate verdict, or transition-blocked finding this skill emits MUST cite the canvas file + field path of the source evidence. Adjacent-surface inference (different opportunity, different ht, different topic) MUST be tagged as inference, not asserted as gate state. Companion to the Read-before-Write rule above: that one protects what gets WRITTEN to canvas; this one protects what gets CLAIMED about canvas state in the skill's narration.

**Edit vs Write — different cost profiles** (verified 2026-05-14):

• **`Edit`** (exact-string replacement): `Read` with `limit: 1` satisfies the check at ~50 tokens. State-tracking is per-file, not per-byte — subsequent `Edit` calls work anywhere in the file. Use this for partial updates against large canvas files (e.g., `purpose.yml` at 800+ lines).
• **`Write`** (full replacement): do a **full Read** first. Write obliterates the file; you should see what you're about to replace. The `limit:1` shortcut is *not* appropriate here.

**ID-bearing entries — scan the ID space before assigning** (added 2026-05-15, v0.23.19): When adding a new component, opportunity, solution, or any other ID-bearing entry to a canvas file, run a Bash grep first to confirm the next ID in your prefix sequence is actually free:

grep -o "<prefix>-[0-9][0-9]*" .claude/canvas/<file>.yml | sort -u -t- -k2 -n | tail -3

Replace `<prefix>` with the canvas's ID prefix (`comp` for landscape, `opp` for opportunities, `sol` for solutions, `ht` for human-tasks, etc.). Then pick the next free integer, **matching the zero-padding already used in that file**. The sort is NUMERIC (`-t- -k2 -n`) rather than lexical, and that is not pedantry: a plain `sort -u` orders `ht-1` after `ht-080`, so on a canvas with inconsistent padding it reports the wrong maximum and the next ID collides. Verified on the dogfood repo 2026-08-13, where lexical sort returned `ht-1` as the highest human-task ID against an actual `ht-080`. `grep -o` is also deliberate: it matches IDs wherever they appear, including cross-references and prose, so an ID that was promised somewhere but not yet defined is not handed out twice. `validate_canvas.py` has a duplicate-ID check (lines 230-239) that catches the failure on CI, but a duplicate can persist in the working tree for days if CI isn't run between edit and discovery — see roadmap-repo `corrections.md` 2026-05-15 "Duplicate canvas ID created in landscape.yml" for the worked example.

Original failure mode: anti-pattern #7 instance #5, 2026-05-09 — agent conflated Bash `head` with the Read tool, lost ~14k tokens to a Write-fail → remedial-full-Read → re-Write loop. The `limit:1` discipline (graduated 2026-05-14, v0.23.18) prevents the second-order cost where the agent *correctly* follows the rule but full-Reads every time. The ID-scan discipline (graduated 2026-05-15, v0.23.19) prevents the related class where the agent reads enough of the file to satisfy the Edit check but not enough to see existing ID assignments — kin to anti-pattern #8 (Stale State Read).

If this skill writes to multiple canvas files, register each one first (limit:1 for Edit-only paths; full Read for Write paths) AND ID-scan any prefix you intend to assign.

See `CLAUDE.md` *Canvas writes — Read before Write* for the canonical rule.

Workflow

1. **Identify transition**: From [current phase] to [next phase] at [scale].

1b. **Cognitive Forcing (before gate evaluation)**:

Before running gates, ask the human for their unprimed judgment:

> "Before I check the gates — do you think we're ready to move from [current] to [next]? What's your gut say?"

Wait for the response. Record it. Then run the gates. After presenting results, compare:

> "You said [X]. The gates say [Y]. Where do we differ?"

The human's instinct often catches risks the gates miss. If the human says "not ready" but gates pass, investigate — the human may be sensing something the evidence hasn't captured yet.

*Source: Buçinca, Malaya & Gajos (Cognitive Forcing Functions, Harvard CHI/CSCW 2021). Applied after Hoskins transcript analysis — Drew's product judgment consistently outperformed the agent's gate-based assessment.*

**Autonomous mode** (per `${CLAUDE_PLUGIN_ROOT}/engine/autonomous-mode.md`): rung (b) — record the declared persona's gut call BEFORE running gates, tag `internal_simulated`, ledger it. The compare-after step still runs.

2. **Run all required theory gates** (per ${CLAUDE_PLUGIN_ROOT}/engine/theory-gates.md transition matrix):

• For each gate:

a. State the gate name and source theory. b. **Surface the suggested skill**: "Run `/skill-name` to satisfy this gate." c. Evaluate pass criteria against available