
Crucible Navigator
- 43 installs
- 62 repo stars
- Updated August 3, 2026
- terrylica/cc-skills
Helps with ai & agent building tasks.
About
crucible-navigator is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- crucible-navigator
- AI & Agent Building
- AI-coding skill
Crucible Navigator by the numbers
- 43 all-time installs (skills.sh)
- Ranked #7,972 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 43 |
|---|---|
| repo stars | ★ 62 |
| Last updated | August 3, 2026 |
| Repository | terrylica/cc-skills ↗ |
What it does
Helps with ai & agent building tasks.
Files
crucible-navigator — Research campaign orientation
Self-Evolving Skill: This skill improves through use. If the routing guidance is wrong (wrong skill invoked for a user intent), fix the description's TRIGGERS list and the routing table below. Append reason to references/evolution-log.md. Don't defer.What this skill does
You are orienting an agent to research methodology. Route the agent to the right sub-skill based on what kind of research task is at hand. The four sub-skills cover epistemics (A), execution (B), decisions (C), and archive (D).
Routing table — map user intent to skill
| User intent signal | Route to |
|---|---|
| "Is this finding real?", "check significance", "shuffled null", "causal feature", "label leakage" | a-research-foundations |
| "Test a hypothesis", "sweep parameters", "multi-agent analysis", "gate validation", "per-trade analysis" | b-investigation-methodology |
| "Should we pivot?", "ship this?", "kill or refine?", "too much context", "supersede a finding" | c-meta-governance |
| "Check dormant ideas", "what's archived?", "resurrect this", "conditions have changed" | d-emergent-resurrection |
If unsure, start with A (foundations). Epistemic discipline is the hardest prerequisite.
The core genetic-evolutionary framing
Research in this plugin is treated as a population under selection:
Population ───────────> (multi-lens agents propose candidates)
│
▼
Fitness ──────────────> (z-score vs shuffled null, OOS replication, kill-selectivity)
│
▼
Selection ────────────> (serial adversarial gates A→B→C→D→E)
│
▼
Surviving individuals ─> (champion stacked as supersedes chain in evolution.jsonl)
│
▼
Mutation/Crossover ───> (agent proposes perturbations of winner; orthogonal components recombined)
│
▼
Archive failures ─────> (d-emergent-resurrection preserves with resurrect_if conditions)
│
└──────── NEXT GENERATION ───────┐
▼
(new audit folder)A "hypothesis" is a triple: (trigger, filter_cascade, management_rule). Each component mutates independently. Crossover combines validated components from different campaigns. Failed individuals go to archive, not trash.
Reading order for a new campaign
1. Read this file. Understand the genetic framing. 2. Read `a-research-foundations/SKILL.md`. 6 epistemic disciplines. 3. Read `b-investigation-methodology/SKILL.md`. 6 execution patterns. This is the workhorse. 4. Reference `c-meta-governance/SKILL.md` as needed during pivots/decisions. 5. Check `d-emergent-resurrection/SKILL.md` first if the hypothesis resembles an archived dead one — you might be resurrecting.
Anti-patterns
1. Treating principles as universal from N=1 evidence. Each principle has a confirmation_count; defer to re-confirmed ones. 2. Skipping A. Experienced agents skip epistemics — don't. The label-leakage trap, wrong-null trap, and agent-z overstatement trap all live in A. 3. Running a new campaign without checking D. Ideas recur. Check archive before re-exploring. 4. Writing conclusions without ledger entries. See A5 (record-keeping-discipline).
Repository landmarks
In opendeviationbar-patterns/:
findings/methodology/— original 10 principle files (pre-plugin)findings/evolution/evolution.jsonl— ledger of findings (append-only)findings/evolution/audits/— dated audit folders (one per campaign)findings/evolution/audits/CLAUDE.md— audit index
When you're done in a session
Update references/evolution-log.md if you noticed that:
- The routing table missed a user intent (add the row)
- A TRIGGER keyword didn't fire on a relevant prompt (extend the description)
- A sub-skill was weaker than expected (flag it for refinement)
---
Post-Execution Reflection
After invoking this skill, if the routing produced a wrong-skill-selected outcome, or if a new user-intent pattern emerged that isn't covered:
1. Identify the gap. What did the user ask for that wasn't routed? 2. Determine the fix. Add a new row to the routing table? Add keywords to TRIGGERS? New sub-skill needed? 3. Apply the fix. Edit this file in-place. Append to references/evolution-log.md with: date, trigger text, what was changed, and link to the session where this came up. 4. Never silently defer. A quiet gap is worse than a noisy one.
evolution-log: 00-navigator
Append-only. Newest entries on top.
Each entry: date, trigger (what happened), change (what was edited), evidence (link to audit folder / session ID).
---
2026-04-19 — Initial creation
Trigger: session ca9d7ffa-ef5a-41d0-94c8-56f113a132f2 distilled 10 methodology files + 8 gap-found principles into a 4-skill plugin. This navigator skill was created to route agents into the right sub-skill.
Change: Created SKILL.md with:
- Routing table (user intent → skill)
- Genetic-evolutionary framing diagram
- Reading order recommendation
- Anti-patterns list
- Post-execution reflection template
Evidence: findings/evolution/audits/2026-04-19-ngram3fu-straddle/CHRONICLE.md, findings/evolution/evolution.jsonl (5 entries)
Confirmations so far: 0 (not yet invoked in a fresh session)
Gaps to test:
- Does the routing table cover all common user intents?
- Is the genetic-evolutionary framing useful to agents, or is it just decorative?
- Does reading the 4 sub-skills in order produce better campaign outcomes?