skilltap
AGENTS.md7 starsChanged 49 days agoMITView on GitHub
skilltap is a personal control plane for managing supported agent harness environments. It adopts, reconciles, and updates native marketplaces, plugins, complete skill directories, MCP configuration, and shared instructions. It does not provide discovery, recommendations, security scanning, a TUI, or compatibility with the previous implementation. Read these before designing or implementing changes: Foundation documents describe current or intended truth. Planned and time-bound work belongs in .work/. The implementation is a stable Rust workspace: - skilltap-core owns domain types, state, planning, reconciliation,…
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,774 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository2 other files it gives its agents.
- agent-extension-standardsSkill
- patternsSkill
The file
We split this AGENTS.md into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
Read these before designing or implementing changes:
- Distinctive: line 51
Use native CLIs through direct argument vectors, not shell command strings.
- Distinctive: line 74
Use concise imperative Git commit messages with no trailers.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md 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.
Files
skilltap
Product
skilltap is a personal control plane for managing supported agent harness environments. It adopts, reconciles, and updates native marketplaces, plugins, complete skill directories, MCP configuration, and shared instructions.
It does not provide discovery, recommendations, security scanning, a TUI, or compatibility with the previous implementation.
Foundation
Read these before designing or implementing changes:
docs/VISION.md— purpose, audience, principles, and exclusions.docs/SPEC.md— authoritative behavior, commands, state, and reconciliation.docs/ARCH.md— Rust architecture and module boundaries.docs/UX.md— non-interactive CLI behavior and output.docs/HARNESS-CONTRACTS.md— Codex and Claude native contracts.
Foundation documents describe current or intended truth. Planned and time-bound work belongs in .work/.
Product Constraints
- Commands are deterministic and non-interactive.
- Bare scoped commands operate globally.
--projecttargets the current project.--project <path>targets another project.--all-scopestargets the managed computer.--targetselects one registered harness or all enabled harnesses.~/AGENTS.mdis the canonical global instruction file.- A skill is the complete directory containing top-level
SKILL.md. - Native harness lifecycle commands take precedence over file materialization.
- Cross-harness transfer must be faithful or reported as partial.
- Partial foreground operations require explicit acknowledgment.
- Daemon updates never acknowledge partial operations or overwrite drift.
- skilltap does not search or browse marketplace contents.
Architecture
The implementation is a stable Rust workspace:
skilltap-coreowns domain types, state, planning, reconciliation, compatibility, and updates.skilltap-harnessesowns the typed target registry, distinct native harness adapters, and user-service adapters.skilltap-cliowns argument parsing, rendering, and exit codes.skilltap-test-supportowns fixtures and isolated test environments.
Dependencies point toward core. Core never writes terminal output or depends on concrete harness implementations.
Use native CLIs through direct argument vectors, not shell command strings. Prefer structured native output. Never treat harness caches as write APIs.
State
skilltap stores machine-wide state under ${XDG_CONFIG_HOME:-$HOME/.config}/skilltap/:
config.toml— policy.inventory.toml— desired resources.state.json— machine-written provenance and observations.managed/— skilltap-owned artifacts and backups.
Authentication material and secrets never enter skilltap state.
Development
The previous TypeScript implementation does not constrain the Rust architecture or public behavior. Do not add compatibility layers or migrations unless the foundation documents change explicitly.
Validate all external boundaries. Preserve unknown documented native fields when editing harness configuration. Keep reconciliation idempotent and test every mutating workflow by immediately repeating it and expecting no changes.
Versioning
Never propose, infer, or publish a new major version unless the user explicitly requests that major-version change. Breaking-change analysis does not grant authority to increment the major version. When the user has not explicitly requested a major release, preserve the current major version and choose only an appropriate minor or patch increment.
Use concise imperative Git commit messages with no trailers.
<!-- agile-workflow:start -->Agile-Workflow Substrate
Work tracked in .work/ as markdown items with YAML frontmatter
(kind, stage, tags, parent, depends_on, release_binding, research_refs,
research_origin; a [research] item also carries the commissioning subset in
a research_dials: block: scope_authority, verification_rigor, intent,
output_kind).
Layout: .work/active/{epics,features,stories}/, .work/backlog/,
.work/releases/<version>/, .work/archive/.
Primary query tool: .work/bin/work-view filters by stage, tag, kind,
parent, and dependency. Common patterns:
work-view --ready— items ready to work (deps satisfied)work-view --stage review— items awaiting an agent review pass (/agile-workflow:review)work-view --parent <id>/--blocking <id>— hierarchy / sequencingwork-view --scope all— include terminal tiers:releases/(one summary doc per version) andarchive/(bodyless ref stubs). Full bodies live in git history. By default work-view shows only active + backlog;--release/--gateauto-widen to all tiers.work-view --helpfor the full flag set
Foundation docs in docs/ describe the system's current state or intended
future state, never the past; git history is the audit trail. Item files are
the durable state: update the body with implementation discoveries, review
findings, blockers, and decisions instead of relying on chat history.
Project agent rules live in .agents/rules/*.md (plugin-managed rules in
.agents/rules/agile-workflow.md); do not maintain .claude/rules/*.md as a
source of truth. No Rust code-pattern skill exists yet; document reusable
patterns only after they emerge from the v3 implementation.
Before designing, implementing, or reviewing, read .agents/rules/*.md —
the project's force-loaded agent rules. The agile-workflow hook auto-loads
these at session start and after compaction; read them directly when working
without the hook. Do not rely on prompt-time queue snapshots; query work-view
when queue state is needed.
Project-specific refactor style conventions belong in this file under
## Refactor Style Conventions. Detailed references belong in
.agents/skills/refactor-conventions/ and extend refactor-design's
defaults; they do not replace the built-in scan and they do not create
standalone plan docs.
Research handoffs flow one way from .research/ into .work/; see the
agentic-research handoff contract. Research items carry research_refs and
research_origin back to their grounding artifacts.
<!-- agile-workflow:end -->Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

