/forward-implementation-first
Keeps an agent building and validating real output instead of servicing its own bookkeeping. Use for multi-stage pipelines, capability roadmaps, long-running implementation loops, migrations, staged data or build runs, and any run where administrative hashes, locks, receipts,
$ npx -y skills add Vuk97/forward-implementation-first --skill forward-implementation-first --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/forward-implementation-first
Context preview
The summary Claude sees to decide when to auto-load this skill.
Keeps an agent building and validating real output instead of servicing its own bookkeeping. Use for multi-stage pipelines, capability roadmaps, long-running implementation loops, migrations, staged data or build runs, and any run where administrative hashes, locks, receipts,
SKILL.md
forward-implementation-first.SKILL.mdname: forward-implementation-first
description: >
Keeps an agent building and validating real output instead of servicing its
own bookkeeping. Use for multi-stage pipelines, capability roadmaps,
long-running implementation loops, migrations, staged data or build runs, and
any run where administrative hashes, locks, receipts, dashboards,
certification markers, or progress metadata can block correct work. Use when
an agent refuses to advance, rewinds finished stages, or reruns unchanged
work because a marker is missing or stale.
Forward implementation first
Build working capability and correct output before administrative bookkeeping. Apply this contract both while building a system and while running it.
Scope
This skill applies to:
- infrastructure and roadmap implementation;
- input intake and intermediate artifact production;
- transformation, derivation, and analysis stages;
- test construction, runtime verification, and measurement;
- publication of final output and closeout;
- manual invocation of any authorized pipeline stage.
It applies whether the action runs through a full orchestrator, a focused command, or a manual stage invocation.
Decision rule
Before each action, classify it as one of:
1. **Semantic implementation**: builds or connects a producer, consumer, adapter, runtime path, schema, fixture, or final output. 2. **Focused validation**: tests the changed dependency cone through behavior, schema, counts, samples, conservation, consistency, nontruncation, or measured resources. 3. **Administrative bookkeeping**: generates or repairs hashes, locks, receipts, dashboards, certification markers, progress metadata, or presence-only records.
Choose categories 1 and 2. Skip category 3 unless the user asks for it or the artifact is itself part of the product. When administrative work blocks a path without protecting correctness, remove that dependency from the path.
Hard constraints
- Build the producer and consumer before polishing status or certification
surfaces.
- Do not generate, repair, compare, or propagate administrative hashes.
- Do not create or wait on filesystem locks.
- Do not rerun an unchanged stage to regenerate a receipt or marker.
- Never invalidate valid output because an administrative receipt, hash,
certification marker, dashboard row, or progress record is missing, stale, or incompatible.
- Never move the forward cursor backward for an administrative metadata change.
- Never invalidate a wide stage range when only one producer or consumer
changed. Replay only that producer's dependency cone.
- Do not treat certification, receipts, dashboards, progress metadata, or
artifact presence as the product.
- Remove hash-only, lock-only, receipt-only, and presence-only credit or gates
from execution paths.
- Do not claim a capability works because its file exists. Run the smallest
changed dependency cone and inspect the output.
- Publish valid output after focused validation. Do not add an extra review
cycle when no defect remains.
Forward cursor and manual execution
A stage may move backward or be replayed only when at least one real condition holds:
- its input meaning changed;
- its target or pinned revision changed;
- its output is malformed, truncated, nonconserving, internally inconsistent,
or incompatible with the consumer;
- an observed run disproves the earlier static result;
- the changed producer's declared dependency cone requires replay.
Missing or stale administrative metadata is not one of those conditions.
When the orchestrator refuses to run a stage only because of a receipt, certification marker, progress record, administrative hash, or lock:
1. Run the exact stage manually. 2. Validate its output with the focused checks below. 3. Publish the valid output atomically. 4. Continue from the forward cursor. 5. Remove or downgrade the administrative-only gate in the execution path.
Do not refuse an authorized manual run because the full pipeline cannot issue a receipt. Do not push the user toward another agent or tool to get around your own bookkeeping.
Required validation
Use the checks that match the change:
- runtime behavior and exit status;
- schema and type validity;
- exact input, output, accepted, rejected, and unknown counts;
- deterministic first, middle, and last samples;
- identity and partition conservation;
- join consistency and flag polarity;
- nontruncation and bounded diagnostic output;
- wall-clock time and peak memory for material stages.
Hashes may identify inputs or revisions, but they never grant correctness, execution, or roadmap credit.
Exceptions that stay substantive
Bookkeeping is cheap to skip. Evidence is not. Keep these:
- Integrity that belongs to the product itself. A checksum your users verify, a
signature your format requires, a hash that is part of the output contract. Those are features, not paperwork.
- Input and revision identity when it decides which version of the thing you
are operating on. Getting that wrong means correct work on the wrong target.
- Real measurement: tests that assert results, benchmarks, reproductions,
end-to-end runs, and whatever your domain treats as proof.
- The difference between coverage and consequence. A run that exercises a path
is not a check that the path produced the right answer.
- An execution record is substantive when it carries the command, the input,
the result, and the expectation it was checked against. Its absence blocks that specific claim. It does not invalidate unrelated earlier stages.
Parallel work invariants
These are behavior contracts, not a scheduler. Your runtime owns scheduling, concurrency, resource contention, and worker topology, and this skill carries no policy about them. Keep these invariants under any scheduler:
- Exactly one writer owns publication, cursor movement, acceptance, and
conclusions. Parallel workers prepare, implement, inspec
Read more
name: forward-implementation-first description: > Keeps an agent building and validating real output instead of servicing its own bookkeeping. Use for multi-stage pipelines, capability roadmaps, long-running implementation loops, migrations, staged data or build runs, and any run where administrative hashes, locks, receipts, dashboards, certification markers, or progress metadata can block correct work. Use when an agent refuses to advance, rewinds finished stages, or reruns unchanged work because a marker is missing or stale.
Forward implementation first
Build working capability and correct output before administrative bookkeeping. Apply this contract both while building a system and while running it.
Scope
This skill applies to:
- infrastructure and roadmap implementation;
- input intake and intermediate artifact production;
- transformation, derivation, and analysis stages;
- test construction, runtime verification, and measurement;
- publication of final output and closeout;
- manual invocation of any authorized pipeline stage.
It applies whether the action runs through a full orchestrator, a focused command, or a manual stage invocation.
Decision rule
Before each action, classify it as one of:
1. **Semantic implementation**: builds or connects a producer, consumer, adapter, runtime path, schema, fixture, or final output. 2. **Focused validation**: tests the changed dependency cone through behavior, schema, counts, samples, conservation, consistency, nontruncation, or measured resources. 3. **Administrative bookkeeping**: generates or repairs hashes, locks, receipts, dashboards, certification markers, progress metadata, or presence-only records.
Choose categories 1 and 2. Skip category 3 unless the user asks for it or the artifact is itself part of the product. When administrative work blocks a path without protecting correctness, remove that dependency from the path.
Hard constraints
- Build the producer and consumer before polishing status or certification
surfaces.
- Do not generate, repair, compare, or propagate administrative hashes.
- Do not create or wait on filesystem locks.
- Do not rerun an unchanged stage to regenerate a receipt or marker.
- Never invalidate valid output because an administrative receipt, hash,
certification marker, dashboard row, or progress record is missing, stale, or incompatible.
- Never move the forward cursor backward for an administrative metadata change.
- Never invalidate a wide stage range when only one producer or consumer
changed. Replay only that producer's dependency cone.
- Do not treat certification, receipts, dashboards, progress metadata, or
artifact presence as the product.
- Remove hash-only, lock-only, receipt-only, and presence-only credit or gates
from execution paths.
- Do not claim a capability works because its file exists. Run the smallest
changed dependency cone and inspect the output.
- Publish valid output after focused validation. Do not add an extra review
cycle when no defect remains.
Forward cursor and manual execution
A stage may move backward or be replayed only when at least one real condition holds:
- its input meaning changed;
- its target or pinned revision changed;
- its output is malformed, truncated, nonconserving, internally inconsistent,
or incompatible with the consumer;
- an observed run disproves the earlier static result;
- the changed producer's declared dependency cone requires replay.
Missing or stale administrative metadata is not one of those conditions.
When the orchestrator refuses to run a stage only because of a receipt, certification marker, progress record, administrative hash, or lock:
1. Run the exact stage manually. 2. Validate its output with the focused checks below. 3. Publish the valid output atomically. 4. Continue from the forward cursor. 5. Remove or downgrade the administrative-only gate in the execution path.
Do not refuse an authorized manual run because the full pipeline cannot issue a receipt. Do not push the user toward another agent or tool to get around your own bookkeeping.
Required validation
Use the checks that match the change:
- runtime behavior and exit status;
- schema and type validity;
- exact input, output, accepted, rejected, and unknown counts;
- deterministic first, middle, and last samples;
- identity and partition conservation;
- join consistency and flag polarity;
- nontruncation and bounded diagnostic output;
- wall-clock time and peak memory for material stages.
Hashes may identify inputs or revisions, but they never grant correctness, execution, or roadmap credit.
Exceptions that stay substantive
Bookkeeping is cheap to skip. Evidence is not. Keep these:
- Integrity that belongs to the product itself. A checksum your users verify, a
signature your format requires, a hash that is part of the output contract. Those are features, not paperwork.
- Input and revision identity when it decides which version of the thing you
are operating on. Getting that wrong means correct work on the wrong target.
- Real measurement: tests that assert results, benchmarks, reproductions,
end-to-end runs, and whatever your domain treats as proof.
- The difference between coverage and consequence. A run that exercises a path
is not a check that the path produced the right answer.
- An execution record is substantive when it carries the command, the input,
the result, and the expectation it was checked against. Its absence blocks that specific claim. It does not invalidate unrelated earlier stages.
Parallel work invariants
These are behavior contracts, not a scheduler. Your runtime owns scheduling, concurrency, resource contention, and worker topology, and this skill carries no policy about them. Keep these invariants under any scheduler:
- Exactly one writer owns publication, cursor movement, acceptance, and
conclusions. Parallel workers prepare, implement, inspec
An agent skill that stops a coding agent from getting stuck servicing its own paperwork. Long-running agent pipelines grow bookkeeping: content hashes, lock files, "receipts" that prove a stage ran, certification markers, dashboard rows, progress metadata.

